vwxyzjn/cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

PythonShellOtherpythonmachine-learningreinforcement-learningdeep-learningdeep-reinforcement-learningpytorchgymatariactor-criticaleproximal-policy-optimizationppoadvantage-actor-critica2cwandbphasic-policy-gradient
This is stars and forks stats for /vwxyzjn/cleanrl repository. As of 27 Apr, 2024 this repository has 3391 stars and 429 forks.

CleanRL (Clean Implementation of RL Algorithms) CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. The highlight features of CleanRL are: 📜 Single-file implementation Every detail about an algorithm variant is put into a single standalone file. For example, our ppo_atari.py only has 340 lines of code but contains...
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