gustavomoers / E2E-CARLA-ReinforcementLearning-PPOView external linksLinks
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.
☆40Apr 12, 2024Updated last year
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