gustavomoers/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.

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41

Forks

6

Language

Python

License

MIT

Category

robotic-simulation-frameworks

Last pushed

Apr 12, 2024

Commits (30d)

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Robotic Simulation Frameworks · 56 frameworks

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