/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.

Primary LanguagePythonMIT LicenseMIT

Stargazers