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A project of using Carla on Ray for research in Reinforcement Learning and Imitation Learning for Autonomous Driving.

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RayCarla Large Scale Autonomous Driving Platform

QuickStart | Development | Results

RayCarla is a large scale autonomous driving research platform.

  • Simulation: Carla simulator.
  • Imitative Learning on Ray to support distributed deep learning.
  • Reinforcement Learning on Ray (WIP).
  • Carla on Ray to support distributed simulation (WIP).
  • Ray Serve to support distributed inference (WIP).
  • Leverage Ray Dataset for distributed data ingestion (WIP).

QuickStart

Follow raycarla.ipynb notebook to enjoy!

Development

Please follow DEVELOPMENT.md to setup environment.

Performance

The training time has been reduced from 20 hours to 3 hours after Ray enale the training on 8 GPUs in parallel.

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A project of using Carla on Ray for research in Reinforcement Learning and Imitation Learning for Autonomous Driving.

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Apache-2.0 license
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