Benji Bananas RL Agent

This project implements a Deep Reinforcement Learning agent to play Benji Bananas.

Prerequisites

Before running the code, you must install the following system dependencies.

1. Install Android Tools and Scrcpy

The project relies on scrcpy for low-latency screen capture.

On macOS (Homebrew):

brew install android-platform-tools scrcpy ffmpeg

Quick Start (Docker)

The easiest way to run the training is via Docker.

1. Prerequisites: Android Emulator running and connected to ADB (adb devices).
2. Build & Run:

   docker compose up --build

   This will build the container and start training. Logs will appear in ./logs.

Manual Installation

1. Install dependencies:

   pip install .

2. Start Training:

   python train.py

2. Connect Android Device

1. Enable Developer Options and USB Debugging on your Android device (or Emulator).
2. Connect via USB.
3. Verify connection:

   adb devices

   You should see a device ID listed.

3. Install Python Dependencies

pip install -e .[dev]

Usage

(To be added)