gym-carla
An OpenAI Gym environment wrapper for the CARLA autonomous driving simulator, enabling reinforcement learning research.
What is gym-carla?
gym-carla is an OpenAI Gym environment wrapper for the CARLA autonomous driving simulator. It provides a standardized interface for training reinforcement learning agents to control vehicles in realistic urban simulations. The wrapper handles observation processing, reward calculation, and episode termination specific to driving tasks.
Researchers and developers working on reinforcement learning for autonomous vehicles, particularly those using the CARLA simulator and OpenAI Gym ecosystem.
It simplifies the integration between CARLA's high-fidelity simulation and popular RL frameworks by providing a consistent Gym API, customizable reward/termination functions, and multi-modal observations out of the box.
Overview
An OpenAI gym wrapper for CARLA simulator
Use Cases
Best For
- Training reinforcement learning agents for autonomous driving tasks
- Benchmarking RL algorithms in realistic driving simulations
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