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A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
Created
2024-01-18
39 commits to main branch, last one 11 months ago
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 ...
Created
2024-02-22
23 commits to main branch, last one 11 months ago