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E2E-CARLA-ReinforcementLearning-PPO

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.

autonomous-vehicles carla-simulator collision-avoidance computer-vision end-to-end-learning machine-learning ppo recurrent-ppo reinforcement-learning stablebaselines3

Creat：2024-02-23T05:21:53

Update：2025-03-23T22:46:10

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