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recurrent-ppo

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gustavomoers / E2E-CARLA-ReinforcementLearning-PPO

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An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.

machine-learning reinforcement-learning computer-vision autonomous-vehicles collision-avoidance end-to-end-learning ppo carla-simulator recurrent-ppo stablebaselines3
  • Updated Apr 12, 2024
  • Python

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