diff --git a/noxfile.py b/noxfile.py
index 9e13b37f9..cc639edc0 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -12,6 +12,7 @@
 
 import argparse
 import os
+import platform
 import shutil
 from typing import TYPE_CHECKING
 
@@ -29,7 +30,7 @@
 
 # TODO(denialhaag): Add 3.14 when all dependencies support it
 #   https://github.com/munich-quantum-toolkit/predictor/issues/420
-PYTHON_ALL_VERSIONS = ["3.10", "3.11", "3.12", "3.13"]
+PYTHON_ALL_VERSIONS = ["3.10", "3.11", "3.12"]
 
 if os.environ.get("CI", None):
     nox.options.error_on_missing_interpreters = True
@@ -66,7 +67,9 @@ def _run_tests(
         "test",
         *install_args,
         "pytest",
+        "-v",
         *pytest_run_args,
+        "--log-cli-level=INFO",
         *session.posargs,
         "--cov-config=pyproject.toml",
         env=env,
@@ -82,6 +85,9 @@ def tests(session: nox.Session) -> None:
 @nox.session(reuse_venv=True, venv_backend="uv", python=PYTHON_ALL_VERSIONS)
 def minimums(session: nox.Session) -> None:
     """Test the minimum versions of dependencies."""
+    if platform.system() == "Windows":
+        session.skip("Too slow on Windows — skipping minimums session.")
+        return
     _run_tests(
         session,
         install_args=["--resolution=lowest-direct"],
@@ -133,5 +139,7 @@ def docs(session: nox.Session) -> None:
         "--frozen",
         "sphinx-autobuild" if serve else "sphinx-build",
         *shared_args,
+        "-v",
+        "--log-cli-level=INFO",
         env=env,
     )
diff --git a/pyproject.toml b/pyproject.toml
index da2095840..e161979cf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,7 +32,7 @@ dependencies = [
     "mqt.bench>=2.0.0",
     "qiskit!=1.3.2", # 1.3.2 causes a Qiskit error when using the CommutativeInverseCancellation pass, see https://github.com/Qiskit/qiskit/issues/13742
     "pytket>=1.29.0", # lowest version that supports the used pytket AutoRebase pass instead of auto_rebase
-    "pytket_qiskit>=0.60.0",
+    "pytket_qiskit>=0.71.0",
     "sb3_contrib>=2.0.0",
     "tqdm>=4.66.0",
     "rich>=12.6.0",
@@ -44,8 +44,10 @@ dependencies = [
     "numpy>=1.24; python_version >= '3.11'",
     "numpy>=1.22",
     "numpy>=1.22,<2; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict numpy v2 for macOS x86 since it is not supported anymore since torch v2.3.0
-    "torch>=2.7.1,<2.8.0; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict torch v2.3.0 for macOS x86 since it is not supported anymore.
+    "torch>=2.7.1,<2.8.0",
     "typing-extensions>=4.1",  # for `assert_never`
+    "qiskit-ibm-transpiler>=0.11.1",
+    "qiskit-ibm-ai-local-transpiler>=0.3.2; python_version < '3.13'"
 ]
 
 classifiers = [
@@ -164,7 +166,7 @@ implicit_reexport = true
 # recent versions of `gym` are typed, but stable-baselines3 pins a very old version of gym.
 # qiskit is not yet marked as typed, but is typed mostly.
 # the other libraries do not have type stubs.
-module = ["qiskit.*", "joblib.*", "sklearn.*", "matplotlib.*", "gymnasium.*", "mqt.bench.*", "sb3_contrib.*", "bqskit.*", "qiskit_ibm_runtime.*", "networkx.*", "stable_baselines3.*"]
+module = ["qiskit.*", "joblib.*", "sklearn.*", "matplotlib.*", "gymnasium.*", "mqt.bench.*", "sb3_contrib.*", "bqskit.*", "qiskit_ibm_runtime.*", "networkx.*", "stable_baselines3.*","qiskit_ibm_transpiler.*"]
 ignore_missing_imports = true
 
 [tool.ruff]
@@ -248,3 +250,8 @@ fom = "fom"
 
 [tool.repo-review]
 ignore = ["GH200"]
+
+[tool.uv]
+override-dependencies = [
+  "networkx==2.8.5",
+]
diff --git a/src/mqt/predictor/ml/predictor.py b/src/mqt/predictor/ml/predictor.py
index 3f0ec5497..155c09e04 100644
--- a/src/mqt/predictor/ml/predictor.py
+++ b/src/mqt/predictor/ml/predictor.py
@@ -191,7 +191,10 @@ def _compile_all_circuits_devicewise(
             if (path_compiled_circuits / (target_filename + ".qasm")).exists():
                 continue
             try:
-                res = timeout_watcher(rl_compile, [qc, device, self.figure_of_merit, rl_pred], timeout)
+                if sys.platform == "win32":
+                    res = rl_compile(qc, device, self.figure_of_merit, rl_pred)
+                else:
+                    res = timeout_watcher(rl_compile, [qc, device, self.figure_of_merit, rl_pred], timeout)
                 if isinstance(res, tuple):
                     compiled_qc = res[0]
                     with Path(path_compiled_circuits / (target_filename + ".qasm")).open("w", encoding="utf-8") as f:
@@ -206,7 +209,6 @@ def compile_training_circuits(
         path_uncompiled_circuits: Path | None = None,
         path_compiled_circuits: Path | None = None,
         timeout: int = 600,
-        num_workers: int = -1,
     ) -> None:
         """Compiles all circuits in the given directory with the given timeout and saves them in the given directory.
 
@@ -227,19 +229,24 @@ def compile_training_circuits(
             with zipfile.ZipFile(str(path_zip), "r") as zip_ref:
                 zip_ref.extractall(path_uncompiled_circuits)
 
-        Parallel(n_jobs=num_workers, verbose=100)(
-            delayed(self._compile_all_circuits_devicewise)(
-                device, timeout, path_uncompiled_circuits, path_compiled_circuits, logger.level
+        if sys.platform != "win32":
+            Parallel(n_jobs=1, verbose=100)(
+                delayed(self._compile_all_circuits_devicewise)(
+                    device, timeout, path_uncompiled_circuits, path_compiled_circuits, logger.level
+                )
+                for device in self.devices
             )
-            for device in self.devices
-        )
+        else:
+            for device in self.devices:
+                self._compile_all_circuits_devicewise(
+                    device, timeout, path_uncompiled_circuits, path_compiled_circuits, logger.level
+                )
 
     def generate_training_data(
         self,
         path_uncompiled_circuits: Path | None = None,
         path_compiled_circuits: Path | None = None,
         path_training_data: Path | None = None,
-        num_workers: int = -1,
     ) -> None:
         """Creates and saves training data from all generated training samples.
 
@@ -267,7 +274,7 @@ def generate_training_data(
         names_list = []
         scores_list = []
 
-        results = Parallel(n_jobs=num_workers, verbose=100)(
+        results = Parallel(n_jobs=1, verbose=100)(
             delayed(self._generate_training_sample)(
                 filename.name,
                 path_uncompiled_circuits,
diff --git a/src/mqt/predictor/rl/actions.py b/src/mqt/predictor/rl/actions.py
index db62ac707..005948d25 100644
--- a/src/mqt/predictor/rl/actions.py
+++ b/src/mqt/predictor/rl/actions.py
@@ -14,7 +14,7 @@
 from collections import defaultdict
 from dataclasses import dataclass
 from enum import Enum
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 from bqskit import MachineModel
 from bqskit import compile as bqskit_compile
@@ -26,7 +26,8 @@
     RemoveRedundancies,
     RoutingPass,
 )
-from qiskit.circuit import StandardEquivalenceLibrary
+from qiskit import QuantumCircuit
+from qiskit.circuit import ClassicalRegister, Instruction, QuantumRegister, Qubit, StandardEquivalenceLibrary
 from qiskit.circuit.library import (
     CXGate,
     CYGate,
@@ -44,14 +45,14 @@
     YGate,
     ZGate,
 )
+from qiskit.converters import circuit_to_dag, dag_to_circuit
 from qiskit.passmanager import ConditionalController
-from qiskit.transpiler import (
-    CouplingMap,
-)
+from qiskit.transpiler import CouplingMap
 from qiskit.transpiler.passes import (
     ApplyLayout,
     BasisTranslator,
     Collect2qBlocks,
+    CollectCliffords,
     CommutativeCancellation,
     CommutativeInverseCancellation,
     ConsolidateBlocks,
@@ -67,13 +68,16 @@
     OptimizeCliffords,
     RemoveDiagonalGatesBeforeMeasure,
     SabreLayout,
+    SabreSwap,
     Size,
+    TrivialLayout,
     UnitarySynthesis,
     VF2Layout,
     VF2PostLayout,
 )
 from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason
 from qiskit.transpiler.preset_passmanagers import common
+from qiskit_ibm_transpiler.ai.routing import AIRouting
 
 from mqt.predictor.rl.parsing import (
     PreProcessTKETRoutingAfterQiskitLayout,
@@ -86,6 +90,7 @@
 
     from bqskit import Circuit
     from pytket._tket.passes import BasePass as tket_BasePass
+    from qiskit.dagcircuit import DAGCircuit
     from qiskit.transpiler.basepasses import BasePass as qiskit_BasePass
 
 
@@ -119,12 +124,14 @@ class Action:
     pass_type: PassType
     transpile_pass: (
         list[qiskit_BasePass | tket_BasePass]
+        | Callable[..., list[Any]]
         | Callable[..., list[qiskit_BasePass | tket_BasePass]]
         | Callable[
             ...,
             Callable[..., tuple[Any, ...] | Circuit],
         ]
     )
+    stochastic: bool | None = False
 
 
 @dataclass
@@ -137,7 +144,8 @@ class DeviceDependentAction(Action):
     """Action that represents a device-specific compilation pass that can be applied to a specific device."""
 
     transpile_pass: (
-        Callable[..., list[qiskit_BasePass | tket_BasePass]]
+        Callable[..., list[Any]]
+        | Callable[..., list[qiskit_BasePass | tket_BasePass]]
         | Callable[
             ...,
             Callable[..., tuple[Any, ...] | Circuit],
@@ -175,12 +183,57 @@ def remove_action(name: str) -> None:
     del _ACTIONS[name]
 
 
+def get_openqasm_gates() -> list[str]:
+    """Returns a list of all quantum gates within the openQASM 2.0 standard header.
+
+    According to https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/qasm/libs/qelib1.inc
+    Removes generic single qubit gates u1, u2, u3 since they are no meaningful features for RL
+
+    """
+    return [
+        "cx",
+        "id",
+        "u",
+        "p",
+        "x",
+        "y",
+        "z",
+        "h",
+        "r",
+        "s",
+        "sdg",
+        "t",
+        "tdg",
+        "rx",
+        "ry",
+        "rz",
+        "sx",
+        "sxdg",
+        "cz",
+        "cy",
+        "swap",
+        "ch",
+        "ccx",
+        "cswap",
+        "crx",
+        "cry",
+        "crz",
+        "cu1",
+        "cp",
+        "csx",
+        "cu",
+        "rxx",
+        "rzz",
+        "rccx",
+    ]
+
+
 register_action(
     DeviceIndependentAction(
         "Optimize1qGatesDecomposition",
         CompilationOrigin.QISKIT,
         PassType.OPT,
-        [Optimize1qGatesDecomposition()],
+        [Optimize1qGatesDecomposition(basis=get_openqasm_gates())],
     )
 )
 
@@ -240,16 +293,20 @@ def remove_action(name: str) -> None:
         "OptimizeCliffords",
         CompilationOrigin.QISKIT,
         PassType.OPT,
-        [OptimizeCliffords()],
+        [CollectCliffords(), OptimizeCliffords()],
     )
 )
 
 register_action(
-    DeviceIndependentAction(
+    DeviceDependentAction(
         "Opt2qBlocks",
         CompilationOrigin.QISKIT,
         PassType.OPT,
-        [Collect2qBlocks(), ConsolidateBlocks(), UnitarySynthesis()],
+        transpile_pass=lambda native_gate, coupling_map: [
+            Collect2qBlocks(),
+            ConsolidateBlocks(basis_gates=native_gate),
+            UnitarySynthesis(basis_gates=native_gate, coupling_map=coupling_map),
+        ],
     )
 )
 
@@ -338,7 +395,7 @@ def remove_action(name: str) -> None:
         "VF2PostLayout",
         CompilationOrigin.QISKIT,
         PassType.FINAL_OPT,
-        transpile_pass=lambda device: VF2PostLayout(target=device),
+        transpile_pass=lambda device: VF2PostLayout(target=device, time_limit=100),
     )
 )
 
@@ -393,8 +450,57 @@ def remove_action(name: str) -> None:
         "SabreMapping",
         CompilationOrigin.QISKIT,
         PassType.MAPPING,
+        stochastic=True,
+        # Qiskit O3 by default uses (max_iterations, layout_trials, swap_trials) = (4, 20, 20)
+        transpile_pass=lambda device, max_iteration=(20, 20): [
+            SabreLayout(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                skip_routing=False,
+                layout_trials=max_iteration[0],
+                swap_trials=max_iteration[1],
+                max_iterations=4,
+                seed=None,
+            ),
+        ],
+    )
+)
+
+register_action(
+    DeviceDependentAction(
+        "SabreLayout+AIRouting",
+        CompilationOrigin.QISKIT,
+        PassType.MAPPING,
+        stochastic=True,
+        transpile_pass=lambda device, max_iteration=(20, 20): [
+            SabreLayout(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                skip_routing=True,
+                layout_trials=max_iteration[0],
+                swap_trials=max_iteration[1],
+                max_iterations=4,
+                seed=None,
+            ),
+            FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+            EnlargeWithAncilla(),
+            ApplyLayout(),
+            SafeAIRouting(coupling_map=device.build_coupling_map(), optimization_level=3, layout_mode="improve"),
+        ],
+    )
+)
+
+register_action(
+    DeviceDependentAction(
+        "AIRouting",
+        CompilationOrigin.QISKIT,
+        PassType.MAPPING,
+        stochastic=True,
         transpile_pass=lambda device: [
-            SabreLayout(coupling_map=CouplingMap(device.build_coupling_map()), skip_routing=False)
+            ### Requires a initial layout, but "optimize" mode overwrites it
+            TrivialLayout(coupling_map=CouplingMap(device.build_coupling_map())),
+            FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+            EnlargeWithAncilla(),
+            ApplyLayout(),
+            SafeAIRouting(coupling_map=device.build_coupling_map(), optimization_level=3, layout_mode="optimize"),
         ],
     )
 )
@@ -421,6 +527,126 @@ def remove_action(name: str) -> None:
     )
 )
 
+
+register_action(
+    DeviceDependentAction(
+        name="DenseLayout+SabreSwap",
+        origin=CompilationOrigin.QISKIT,
+        pass_type=PassType.MAPPING,
+        stochastic=True,
+        transpile_pass=lambda device, max_iteration=(20, 20): [
+            DenseLayout(coupling_map=CouplingMap(device.build_coupling_map())),
+            FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+            EnlargeWithAncilla(),
+            ApplyLayout(),
+            SabreSwap(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                heuristic="decay",
+                trials=max_iteration[1],
+                seed=None,
+            ),
+        ],
+    )
+)
+
+register_action(
+    DeviceDependentAction(
+        name="DenseLayout+AIRouting",
+        origin=CompilationOrigin.QISKIT,
+        pass_type=PassType.MAPPING,
+        stochastic=True,
+        transpile_pass=lambda device: [
+            DenseLayout(coupling_map=CouplingMap(device.build_coupling_map())),
+            FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+            EnlargeWithAncilla(),
+            ApplyLayout(),
+            SafeAIRouting(coupling_map=device.build_coupling_map(), optimization_level=3, layout_mode="improve"),
+        ],
+    )
+)
+
+
+register_action(
+    DeviceDependentAction(
+        name="VF2Layout+SabreSwap",
+        origin=CompilationOrigin.QISKIT,
+        pass_type=PassType.MAPPING,
+        stochastic=True,
+        transpile_pass=lambda device, max_iteration=(20, 20): [
+            VF2Layout(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                target=device,
+                call_limit=30000000,
+                max_trials=250000,
+            ),
+            ConditionalController(
+                [
+                    FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+                    EnlargeWithAncilla(),
+                    ApplyLayout(),
+                ],
+                condition=lambda property_set: property_set["VF2Layout_stop_reason"]
+                == VF2LayoutStopReason.SOLUTION_FOUND,
+            ),
+            ConditionalController(
+                [
+                    TrivialLayout(coupling_map=CouplingMap(device.build_coupling_map())),
+                    FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+                    EnlargeWithAncilla(),
+                    ApplyLayout(),
+                ],
+                # Run if VF2Layout did not find a solution
+                condition=lambda property_set: property_set["VF2Layout_stop_reason"]
+                != VF2LayoutStopReason.SOLUTION_FOUND,
+            ),
+            SabreSwap(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                heuristic="decay",
+                trials=max_iteration[1],
+                seed=None,
+            ),
+        ],
+    )
+)
+
+register_action(
+    DeviceDependentAction(
+        name="VF2Layout+AIRouting",
+        origin=CompilationOrigin.QISKIT,
+        pass_type=PassType.MAPPING,
+        stochastic=True,
+        transpile_pass=lambda device: [
+            VF2Layout(
+                coupling_map=CouplingMap(device.build_coupling_map()),
+                target=device,
+                call_limit=30000000,
+                max_trials=250000,
+            ),
+            ConditionalController(
+                [
+                    FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+                    EnlargeWithAncilla(),
+                    ApplyLayout(),
+                ],
+                condition=lambda property_set: property_set["VF2Layout_stop_reason"]
+                == VF2LayoutStopReason.SOLUTION_FOUND,
+            ),
+            ConditionalController(
+                [
+                    TrivialLayout(coupling_map=CouplingMap(device.build_coupling_map())),
+                    FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+                    EnlargeWithAncilla(),
+                    ApplyLayout(),
+                ],
+                # Run if VF2Layout did not find a solution
+                condition=lambda property_set: property_set["VF2Layout_stop_reason"]
+                != VF2LayoutStopReason.SOLUTION_FOUND,
+            ),
+            SafeAIRouting(coupling_map=device.build_coupling_map(), optimization_level=3, layout_mode="improve"),
+        ],
+    )
+)
+
 register_action(
     DeviceDependentAction(
         "BasisTranslator",
@@ -465,3 +691,125 @@ def get_actions_by_pass_type() -> dict[PassType, list[Action]]:
     for action in _ACTIONS.values():
         result[action.pass_type].append(action)
     return result
+
+
+def extract_cregs_and_measurements(
+    qc: QuantumCircuit,
+) -> tuple[list[ClassicalRegister], list[tuple[Instruction, list[Any], list[Any]]]]:
+    """Extracts classical registers and measurement operations from a quantum circuit.
+
+    Args:
+        qc: The input QuantumCircuit.
+
+    Returns:
+        A tuple containing a list of classical registers and a list of measurement operations.
+    """
+    cregs = [ClassicalRegister(cr.size, name=cr.name) for cr in qc.cregs]
+    measurements = [(item.operation, item.qubits, item.clbits) for item in qc.data if item.operation.name == "measure"]
+    return cregs, measurements
+
+
+def remove_cregs(qc: QuantumCircuit) -> QuantumCircuit:
+    """Removes classical registers and measurement operations from the circuit.
+
+    Args:
+        qc: The input QuantumCircuit.
+
+    Returns:
+        A new QuantumCircuit with only quantum operations (no cregs or measurements).
+    """
+    qregs = [QuantumRegister(qr.size, name=qr.name) for qr in qc.qregs]
+    new_qc = QuantumCircuit(*qregs)
+    old_to_new = {}
+    for orig_qr, new_qr in zip(qc.qregs, new_qc.qregs, strict=False):
+        for idx in range(orig_qr.size):
+            old_to_new[orig_qr[idx]] = new_qr[idx]
+    for item in qc.data:
+        instr = item.operation
+        qargs = [old_to_new[q] for q in item.qubits]
+        if instr.name not in ("measure", "barrier"):
+            new_qc.append(instr, qargs)
+    return new_qc
+
+
+def add_cregs_and_measurements(
+    qc: QuantumCircuit,
+    cregs: list[ClassicalRegister],
+    measurements: list[tuple[Instruction, list[Any], list[Any]]],
+    qubit_map: dict[Qubit, Qubit] | None = None,
+) -> QuantumCircuit:
+    """Adds classical registers and measurement operations back to the quantum circuit.
+
+    Args:
+        qc: The quantum circuit to which cregs and measurements are added.
+        cregs: List of ClassicalRegister to add.
+        measurements: List of measurement instructions as tuples (Instruction, qubits, clbits).
+        qubit_map: Optional dictionary mapping original qubits to new qubits.
+
+    Returns:
+        The modified QuantumCircuit with cregs and measurements added.
+    """
+    for cr in cregs:
+        qc.add_register(cr)
+    for instr, qargs, cargs in measurements:
+        new_qargs = [qubit_map[q] for q in qargs] if qubit_map else qargs
+        qc.append(instr, new_qargs, cargs)
+    return qc
+
+
+class SafeAIRouting(AIRouting):  # type: ignore[misc]
+    """Custom AIRouting wrapper that removes classical registers before routing.
+
+    This prevents failures in AIRouting when classical bits are present by
+    temporarily removing classical registers and measurements and restoring
+    them after routing is completed.
+    """
+
+    def run(self, dag: DAGCircuit) -> DAGCircuit:
+        """Run the routing pass on a DAGCircuit."""
+        # 1. Convert input dag to circuit
+        qc_orig = dag_to_circuit(dag)
+
+        # 2. Extract classical registers and measurement instructions
+        cregs, measurements = extract_cregs_and_measurements(qc_orig)
+
+        # 3. Remove cregs and measurements
+        qc_noclassical = remove_cregs(qc_orig)
+
+        # 4. Convert back to dag and run routing (AIRouting)
+        dag_noclassical = circuit_to_dag(qc_noclassical)
+        dag_routed = super().run(dag_noclassical)
+
+        # 5. Convert routed dag to circuit for restoration
+        qc_routed = dag_to_circuit(dag_routed)
+
+        # 6. Build mapping from original qubits to qubits in routed circuit
+        final_layout = getattr(self, "property_set", {}).get("final_layout", None)
+        if final_layout is None and hasattr(dag_routed, "property_set"):
+            final_layout = dag_routed.property_set.get("final_layout", None)
+
+        assert final_layout is not None, "final_layout is None — cannot map virtual qubits"
+        qubit_map = {}
+        for virt in qc_orig.qubits:
+            try:
+                phys = final_layout[virt]
+            except KeyError as err:
+                msg = f"Virtual qubit {virt} not found in final layout!"
+                raise RuntimeError(msg) from err
+            if isinstance(phys, int):
+                try:
+                    qubit_map[virt] = qc_routed.qubits[phys]
+                except IndexError as err:
+                    msg = f"Physical index {phys} is out of range in routed circuit!"
+                    raise RuntimeError(msg) from err
+            else:
+                try:
+                    idx = qc_routed.qubits.index(phys)
+                except ValueError as err:
+                    msg = f"Physical qubit {phys} not found in output circuit!"
+                    raise RuntimeError(msg) from err
+                qubit_map[virt] = qc_routed.qubits[idx]
+                # 7. Restore classical registers and measurement instructions
+        qc_final = add_cregs_and_measurements(qc_routed, cregs, measurements, qubit_map)
+        # 8. Return as dag
+        return circuit_to_dag(qc_final)
diff --git a/src/mqt/predictor/rl/helper.py b/src/mqt/predictor/rl/helper.py
index 68bb9401d..558ba262f 100644
--- a/src/mqt/predictor/rl/helper.py
+++ b/src/mqt/predictor/rl/helper.py
@@ -12,23 +12,109 @@
 
 import logging
 from pathlib import Path
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 import numpy as np
 from qiskit import QuantumCircuit
+from qiskit.transpiler import PassManager, Target
 
 from mqt.predictor.utils import calc_supermarq_features
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     from numpy.random import Generator
     from numpy.typing import NDArray
 
+    from mqt.predictor.rl.actions import Action
+
+    # from mqt.predictor.rl.actions import Action
+
 import zipfile
 from importlib import resources
 
 logger = logging.getLogger("mqt-predictor")
 
 
+def best_of_n_passmanager(
+    action: Action,
+    device: Target,
+    qc: QuantumCircuit,
+    max_iteration: tuple[int, int] = (20, 20),
+    metric_fn: Callable[[QuantumCircuit], float] | None = None,
+) -> tuple[QuantumCircuit, dict[str, Any]]:
+    """Runs the given transpile_pass multiple times and keeps the best result.
+
+    Args:
+        action: The action dictionary with a 'transpile_pass' key
+            (lambda device -> [passes]).
+        device: The target backend or device.
+        qc: The input quantum circuit.
+        max_iteration: A tuple (layout_trials, routing_trials) specifying
+            how many times to try.
+        metric_fn: Optional function to score circuits; defaults to circuit depth.
+
+    Returns:
+        A tuple containing the best transpiled circuit and its corresponding
+        property set.
+    """
+    best_val = None
+    best_result = None
+    best_property_set = None
+
+    if callable(action.transpile_pass):
+        try:
+            if action.name == "SabreLayout+AIRouting":
+                all_passes = action.transpile_pass(device, max_iteration)
+            else:
+                all_passes = action.transpile_pass(device)
+        except TypeError as e:
+            msg = f"Error calling transpile_pass for {action.name}: {e}"
+            raise ValueError(msg) from e
+    else:
+        all_passes = action.transpile_pass
+
+    if not isinstance(all_passes, list):
+        msg = f"Expected list of passes, got {type(all_passes)}"
+        raise TypeError(msg)
+
+    layout_passes = all_passes[:-1]
+    routing_pass = all_passes[-1:]
+
+    # Run layout once
+    layout_pm = PassManager(layout_passes)
+    try:
+        layouted_qc = layout_pm.run(qc)
+        layout_props = dict(layout_pm.property_set)
+    except Exception:
+        return qc, {}
+
+    # Run routing multiple times and optimize for the given metric
+    for i in range(max_iteration[1]):
+        pm = PassManager(routing_pass)
+        pm.property_set.update(layout_props)
+        try:
+            out_circ = pm.run(layouted_qc)
+            prop_set = dict(pm.property_set)
+
+            val = metric_fn(out_circ) if metric_fn else out_circ.depth()
+            if best_val is None or val < best_val:
+                best_val = val
+                best_result = out_circ
+                best_property_set = prop_set
+                if best_val == 0:
+                    break
+        except Exception as e:
+            print(f"[Routing] Trial {i + 1} failed: {e}")
+            continue
+    if best_result is not None:
+        if best_property_set is None:
+            best_property_set = {}
+        return best_result, best_property_set
+    print("All mapping attempts failed; returning original circuit.")
+    return qc, {}
+
+
 def get_state_sample(max_qubits: int, path_training_circuits: Path, rng: Generator) -> tuple[QuantumCircuit, str]:
     """Returns a random quantum circuit from the training circuits folder.
 
@@ -82,7 +168,6 @@ def create_feature_dict(qc: QuantumCircuit) -> dict[str, int | NDArray[np.float6
         "num_qubits": qc.num_qubits,
         "depth": qc.depth(),
     }
-
     supermarq_features = calc_supermarq_features(qc)
     # for all dict values, put them in a list each
     feature_dict["program_communication"] = np.array([supermarq_features.program_communication], dtype=np.float32)
diff --git a/src/mqt/predictor/rl/predictorenv.py b/src/mqt/predictor/rl/predictorenv.py
index fbaa4875f..a3cbae20b 100644
--- a/src/mqt/predictor/rl/predictorenv.py
+++ b/src/mqt/predictor/rl/predictorenv.py
@@ -38,11 +38,10 @@
 from joblib import load
 from pytket.circuit import Qubit
 from pytket.extensions.qiskit import qiskit_to_tk, tk_to_qiskit
-from qiskit import QuantumCircuit
+from qiskit import QuantumCircuit, transpile
 from qiskit.passmanager.flow_controllers import DoWhileController
 from qiskit.transpiler import CouplingMap, PassManager, Target, TranspileLayout
 from qiskit.transpiler.passes import CheckMap, GatesInBasis
-from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason
 
 from mqt.predictor.hellinger import get_hellinger_model_path
 from mqt.predictor.reward import (
@@ -53,8 +52,19 @@
     expected_fidelity,
     figure_of_merit,
 )
-from mqt.predictor.rl.actions import CompilationOrigin, DeviceDependentAction, PassType, get_actions_by_pass_type
-from mqt.predictor.rl.helper import create_feature_dict, get_path_training_circuits, get_state_sample
+from mqt.predictor.rl.actions import (
+    CompilationOrigin,
+    DeviceDependentAction,
+    PassType,
+    get_actions_by_pass_type,
+    get_openqasm_gates,
+)
+from mqt.predictor.rl.helper import (
+    best_of_n_passmanager,
+    create_feature_dict,
+    get_path_training_circuits,
+    get_state_sample,
+)
 from mqt.predictor.rl.parsing import (
     final_layout_bqskit_to_qiskit,
     final_layout_pytket_to_qiskit,
@@ -110,6 +120,10 @@ def __init__(
             self.action_set[index] = elem
             self.actions_synthesis_indices.append(index)
             index += 1
+        for elem in action_dict[PassType.OPT]:
+            self.action_set[index] = elem
+            self.actions_opt_indices.append(index)
+            index += 1
         for elem in action_dict[PassType.LAYOUT]:
             self.action_set[index] = elem
             self.actions_layout_indices.append(index)
@@ -118,10 +132,6 @@ def __init__(
             self.action_set[index] = elem
             self.actions_routing_indices.append(index)
             index += 1
-        for elem in action_dict[PassType.OPT]:
-            self.action_set[index] = elem
-            self.actions_opt_indices.append(index)
-            index += 1
         for elem in action_dict[PassType.MAPPING]:
             self.action_set[index] = elem
             self.actions_mapping_indices.append(index)
@@ -163,6 +173,7 @@ def __init__(
         }
         self.observation_space = Dict(spaces)
         self.filename = ""
+        self.max_iter = (20, 20)  # (layout_trials, routing _trials)
 
     def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any, Any]]:
         """Executes the given action and returns the new state, the reward, whether the episode is done, whether the episode is truncated and additional information.
@@ -177,6 +188,7 @@ def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any
             RuntimeError: If no valid actions are left.
         """
         self.used_actions.append(str(self.action_set[action].name))
+        logger.info(f"Applying: {self.action_set[action].name!s}")
         altered_qc = self.apply_action(action)
         if not altered_qc:
             return (
@@ -202,9 +214,14 @@ def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any
             reward_val = 0
             done = False
 
-        # in case the Qiskit.QuantumCircuit has unitary or u gates in it, decompose them (because otherwise qiskit will throw an error when applying the BasisTranslator
+        # in case the Qiskit.QuantumCircuit has unitary or u gates or clifford in it, decompose them (because otherwise qiskit will throw an error when applying the BasisTranslator
         if self.state.count_ops().get("unitary"):
-            self.state = self.state.decompose(gates_to_decompose="unitary")
+            temp_circ = self.state.decompose(gates_to_decompose="unitary")
+            # qiskit fallback to ['id', 'u1', 'u2', 'u3', 'cx'] by default according to https://quantum.cloud.ibm.com/docs/en/api/qiskit/0.24/transpiler
+            self.state = transpile(temp_circ, basis_gates=get_openqasm_gates(), optimization_level=0)
+        elif self.state.count_ops().get("clifford"):
+            temp_circ = self.state.decompose(gates_to_decompose="clifford")
+            self.state = transpile(temp_circ, basis_gates=get_openqasm_gates(), optimization_level=0)
 
         self.state._layout = self.layout  # noqa: SLF001
         obs = create_feature_dict(self.state)
@@ -319,52 +336,81 @@ def apply_action(self, action_index: int) -> QuantumCircuit | None:
         raise ValueError(msg)
 
     def _apply_qiskit_action(self, action: Action, action_index: int) -> QuantumCircuit:
-        if action.name == "QiskitO3" and isinstance(action, DeviceDependentAction):
-            passes = action.transpile_pass(
-                self.device.operation_names,
-                CouplingMap(self.device.build_coupling_map()) if self.layout else None,
-            )
-            pm = PassManager([DoWhileController(passes, do_while=action.do_while)])
-        else:
-            transpile_pass = (
-                action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
-            )
-            pm = PassManager(transpile_pass)
-
-        altered_qc = pm.run(self.state)
-
-        if action_index in (
-            self.actions_layout_indices + self.actions_mapping_indices + self.actions_final_optimization_indices
-        ):
-            altered_qc = self._handle_qiskit_layout_postprocessing(action, pm, altered_qc)
+        if getattr(action, "stochastic", False):
+
+            def metric_fn(circ: QuantumCircuit) -> float:
+                return float(circ.count_ops().get("swap", 0))
+
+            max_iteration = self.max_iter
+            if "Sabre" in action.name and "AIRouting" not in action.name:
+                # Internal trials for Sabre
+                assert callable(action.transpile_pass)
+                transpile_pass = action.transpile_pass(self.device, max_iteration)
+                pm = PassManager(transpile_pass)
+                altered_qc = pm.run(self.state)
+                pm_property_set = dict(pm.property_set)
+            elif "AIRouting" in action.name:
+                # Run AIRouting in custom loop
+                altered_qc, pm_property_set = best_of_n_passmanager(
+                    action,
+                    self.device,
+                    self.state,
+                    max_iteration=max_iteration,
+                    metric_fn=metric_fn,
+                )
+            else:
+                msg = f"Unknown stochastic action: {action.name}"
+                raise ValueError(msg)
 
-        elif action_index in self.actions_routing_indices and self.layout:
-            self.layout.final_layout = pm.property_set["final_layout"]
+        else:
+            if action.name in ["QiskitO3", "Opt2qBlocks"] and isinstance(action, DeviceDependentAction):
+                passes = action.transpile_pass(
+                    self.device.operation_names,
+                    CouplingMap(self.device.build_coupling_map()) if self.layout else None,
+                )
+                if action.name == "QiskitO3":
+                    pm = PassManager([DoWhileController(passes, do_while=action.do_while)])
+                else:
+                    pm = PassManager(passes)
+                altered_qc = pm.run(self.state)
+                pm_property_set = dict(pm.property_set) if hasattr(pm, "property_set") else {}
+            else:
+                transpile_pass = (
+                    action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
+                )
+                pm = PassManager(transpile_pass)
+                altered_qc = pm.run(self.state)
+                pm_property_set = dict(pm.property_set) if hasattr(pm, "property_set") else {}
+
+        if action_index in (self.actions_mapping_indices + self.actions_final_optimization_indices):
+            altered_qc = self._handle_qiskit_layout_postprocessing(action, pm_property_set, altered_qc)
 
         return altered_qc
 
     def _handle_qiskit_layout_postprocessing(
-        self, action: Action, pm: PassManager, altered_qc: QuantumCircuit
+        self,
+        action: Action,
+        pm_property_set: dict[str, Any],
+        altered_qc: QuantumCircuit,
     ) -> QuantumCircuit:
         if action.name == "VF2PostLayout":
-            assert pm.property_set["VF2PostLayout_stop_reason"] is not None
-            post_layout = pm.property_set["post_layout"]
+            assert pm_property_set["VF2PostLayout_stop_reason"] is not None
+            post_layout = pm_property_set.get("post_layout")
             if post_layout:
                 altered_qc, _ = postprocess_vf2postlayout(altered_qc, post_layout, self.layout)
-        elif action.name == "VF2Layout":
-            assert pm.property_set["VF2Layout_stop_reason"] == VF2LayoutStopReason.SOLUTION_FOUND
-            assert pm.property_set["layout"]
-        else:
-            assert pm.property_set["layout"]
 
-        if pm.property_set["layout"]:
+        layout = pm_property_set.get("layout")
+        if layout:
             self.layout = TranspileLayout(
-                initial_layout=pm.property_set["layout"],
-                input_qubit_mapping=pm.property_set["original_qubit_indices"],
-                final_layout=pm.property_set["final_layout"],
+                initial_layout=layout,
+                input_qubit_mapping=pm_property_set["original_qubit_indices"],
+                final_layout=pm_property_set["final_layout"],
                 _output_qubit_list=altered_qc.qubits,
                 _input_qubit_count=self.num_qubits_uncompiled_circuit,
             )
+
+        if self.layout is not None and pm_property_set.get("final_layout"):
+            self.layout.final_layout = pm_property_set["final_layout"]
         return altered_qc
 
     def _apply_tket_action(self, action: Action, action_index: int) -> QuantumCircuit:
@@ -378,13 +424,13 @@ def _apply_tket_action(self, action: Action, action_index: int) -> QuantumCircui
 
         qbs = tket_qc.qubits
         tket_qc.rename_units({qbs[i]: Qubit("q", i) for i in range(len(qbs))})
-        altered_qc = tk_to_qiskit(tket_qc)
+        altered_qc = tk_to_qiskit(tket_qc, replace_implicit_swaps=True)
 
         if action_index in self.actions_routing_indices:
             assert self.layout is not None
             self.layout.final_layout = final_layout_pytket_to_qiskit(tket_qc, altered_qc)
-
-        return altered_qc
+        # Decompose to the allowed gates (by default generic u gates are used)
+        return transpile(altered_qc, basis_gates=get_openqasm_gates(), optimization_level=0)
 
     def _apply_bqskit_action(self, action: Action, action_index: int) -> QuantumCircuit:
         """Applies the given BQSKit action to the current state and returns the altered state.
@@ -424,25 +470,20 @@ def _apply_bqskit_action(self, action: Action, action_index: int) -> QuantumCirc
 
     def determine_valid_actions_for_state(self) -> list[int]:
         """Determines and returns the valid actions for the current state."""
-        check_nat_gates = GatesInBasis(target=self.device)
+        check_nat_gates = GatesInBasis(basis_gates=self.device.operation_names)
         check_nat_gates(self.state)
         only_nat_gates = check_nat_gates.property_set["all_gates_in_basis"]
 
-        if not only_nat_gates:
-            actions = self.actions_synthesis_indices + self.actions_opt_indices
-            if self.layout is not None:
-                actions += self.actions_routing_indices
-            return actions
-
-        check_mapping = CheckMap(coupling_map=self.device.build_coupling_map())
+        check_mapping = CheckMap(coupling_map=CouplingMap(self.device.build_coupling_map()))
         check_mapping(self.state)
         mapped = check_mapping.property_set["is_swap_mapped"]
 
-        if mapped and self.layout is not None:  # The circuit is correctly mapped.
-            return [self.action_terminate_index, *self.actions_opt_indices]
-
-        if self.layout is not None:  # The circuit is not yet mapped but a layout is set.
-            return self.actions_routing_indices
+        if not only_nat_gates:  # not native gates yet
+            return self.actions_synthesis_indices + self.actions_opt_indices
 
-        # No layout applied yet
-        return self.actions_mapping_indices + self.actions_layout_indices + self.actions_opt_indices
+        if mapped and self.layout is not None:  # The circuit is correctly mapped
+            return [self.action_terminate_index, *self.actions_opt_indices, *self.actions_final_optimization_indices]
+        # The circuit is not mapped yet
+        # Or the circuit was mapped but some optimization actions change its structure and the circuit is again unmapped
+        # In this case, re-do mapping completely as the previous layout is not optimal on the new structure
+        return self.actions_mapping_indices + self.actions_opt_indices
diff --git a/tests/compilation/test_predictor_rl.py b/tests/compilation/test_predictor_rl.py
index b7001d65b..9e4c1ded2 100644
--- a/tests/compilation/test_predictor_rl.py
+++ b/tests/compilation/test_predictor_rl.py
@@ -19,6 +19,7 @@
 from qiskit.circuit.library import CXGate
 from qiskit.qasm2 import dump
 from qiskit.transpiler import InstructionProperties, Target
+from qiskit.transpiler.passes import GatesInBasis
 
 from mqt.predictor.rl import Predictor, rl_compile
 from mqt.predictor.rl.actions import (
@@ -37,7 +38,7 @@ def test_predictor_env_reset_from_string() -> None:
     device = get_device("ibm_eagle_127")
     predictor = Predictor(figure_of_merit="expected_fidelity", device=device)
     qasm_path = Path("test.qasm")
-    qc = get_benchmark("dj", BenchmarkLevel.ALG, 3)
+    qc = get_benchmark("dj", BenchmarkLevel.INDEP, 3)
     with qasm_path.open("w", encoding="utf-8") as f:
         dump(qc, f)
     assert predictor.env.reset(qc=qasm_path)[0] == create_feature_dict(qc)
@@ -69,7 +70,7 @@ def test_qcompile_with_newly_trained_models() -> None:
     """
     figure_of_merit = "expected_fidelity"
     device = get_device("ibm_falcon_127")
-    qc = get_benchmark("ghz", BenchmarkLevel.ALG, 3)
+    qc = get_benchmark("ghz", BenchmarkLevel.INDEP, 3)
     predictor = Predictor(figure_of_merit=figure_of_merit, device=device)
 
     model_name = "model_" + figure_of_merit + "_" + device.description
@@ -89,13 +90,19 @@ def test_qcompile_with_newly_trained_models() -> None:
     )
 
     qc_compiled, compilation_information = rl_compile(qc, device=device, figure_of_merit=figure_of_merit)
+
+    check_nat_gates = GatesInBasis(basis_gates=device.operation_names)
+    check_nat_gates(qc_compiled)
+    only_nat_gates = check_nat_gates.property_set["all_gates_in_basis"]
+
     assert qc_compiled.layout is not None
     assert compilation_information is not None
+    assert only_nat_gates, "Circuit should only contain native gates but was not detected as such"
 
 
 def test_qcompile_with_false_input() -> None:
     """Test the qcompile function with false input."""
-    qc = get_benchmark("dj", BenchmarkLevel.ALG, 5)
+    qc = get_benchmark("dj", BenchmarkLevel.INDEP, 5)
     with pytest.raises(ValueError, match=re.escape("figure_of_merit must not be None if predictor_singleton is None.")):
         rl_compile(qc, device=get_device("quantinuum_h2_56"), figure_of_merit=None)
     with pytest.raises(ValueError, match=re.escape("device must not be None if predictor_singleton is None.")):
diff --git a/tests/hellinger_distance/test_estimated_hellinger_distance.py b/tests/hellinger_distance/test_estimated_hellinger_distance.py
index d13151d51..14d2ac3ea 100644
--- a/tests/hellinger_distance/test_estimated_hellinger_distance.py
+++ b/tests/hellinger_distance/test_estimated_hellinger_distance.py
@@ -11,7 +11,6 @@
 from __future__ import annotations
 
 import re
-import sys
 import warnings
 from pathlib import Path
 from typing import TYPE_CHECKING
@@ -217,20 +216,12 @@ def test_train_and_qcompile_with_hellinger_model(source_path: Path, target_path:
                 dump(qc, f)
 
         # Generate compiled circuits (using trained RL model)
-        if sys.platform == "win32":
-            with pytest.warns(RuntimeWarning, match=re.escape("Timeout is not supported on Windows.")):
-                ml_predictor.compile_training_circuits(
-                    timeout=600, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path, num_workers=1
-                )
-        else:
-            ml_predictor.compile_training_circuits(
-                timeout=600, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path, num_workers=1
-            )
+        ml_predictor.compile_training_circuits(
+            timeout=6000, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path
+        )
 
         # Generate training data from the compiled circuits
-        ml_predictor.generate_training_data(
-            path_uncompiled_circuits=source_path, path_compiled_circuits=target_path, num_workers=1
-        )
+        ml_predictor.generate_training_data(path_uncompiled_circuits=source_path, path_compiled_circuits=target_path)
 
         for file in [
             "training_data_estimated_hellinger_distance.npy",
diff --git a/uv.lock b/uv.lock
index b2c84d1fe..d9e9e8d01 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,9 @@ resolution-markers = [
     "(python_full_version < '3.11' and 'x86_64' not in platform_machine) or (python_full_version < '3.11' and sys_platform != 'darwin')",
 ]
 
+[manifest]
+overrides = [{ name = "networkx", specifier = "==2.8.5" }]
+
 [[package]]
 name = "absl-py"
 version = "2.3.1"
@@ -107,6 +110,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" },
 ]
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148, upload-time = "2022-10-05T19:19:30.546Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.13.4"
@@ -152,11 +164,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2025.7.14"
+version = "2025.8.3"
 source = { registry = "https://pypi.org/simple" }
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