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#

recurrent-ppo

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PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

  • UpdatedNov 15, 2021
  • Python

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.

  • UpdatedApr 12, 2024
  • Python

Solving the Atari Breakout environment using Stable Baselines

  • UpdatedOct 25, 2022
  • Jupyter Notebook

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