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Pull request overview
Adds a new Traffic Junction multi-agent environment to JaxMARL (JAX-native), along with a Matplotlib-based visualizer and a small runnable sanity-check script.
Changes:
- Introduces
TrafficJunctionenvironment with grid-size-dependent lane/spawn logic, turning rules, and local observations. - Adds
TrafficVisualizerto animate recorded state sequences. - Adds
test_tj.pyas a manual simulation/visualization driver.
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 9 comments.
| File | Description |
|---|---|
jaxmarl/environments/traffic_junction/traffic_junction.py |
Core environment implementation: state, stepping (movement/spawn), rewards, and observations. |
jaxmarl/environments/traffic_junction/tj_visualizer.py |
Matplotlib animation utility for inspecting state sequences over time. |
jaxmarl/environments/traffic_junction/test_tj.py |
Manual script to run random actions, track collisions, and launch the visualizer. |
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Pull request overview
Copilot reviewed 6 out of 6 changed files in this pull request and generated 6 comments.
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Description
This PR adds the Traffic Junction environment to JaxMARL, a fully JAX-compatible port of the classic multi-agent traffic control task.
This implementation features a scalable grid size, dynamic spawning logic, and a custom Matplotlib visualizer for evaluating agent behaviors.
Key Features
TrafficJunctionclass supports variablegrid_size(default: 14), automatically adjusting lane positions (mid_low,mid_high) and spawn points.view_size x view_size) centered on themselves, padded with-1for off-grid areas.tj_visualizer.pywith:grid_size.Files Added
jaxmarl/environments/traffic_junction/traffic_junction.py: Core environment logic.jaxmarl/environments/traffic_junction/tj_visualizer.py: Visualization tool.jaxmarl/environments/traffic_junction/test_tj.py: Sanity check / test script.Verification