cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Run and experiment with deep reinforcement learning algorithms using a simple, single-file implementation.
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Free · no card · unsubscribe anytimeHigh-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
cleanrl has 10.1k stars on GitHub. It has been forked 1.1k times. cleanrl is written mainly in Python. It has been in active development since 2019. Its main topics are a2c, actor-critic, advantage-actor-critic, ale.
What is cleanrl?
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Is cleanrl open source?
cleanrl is an open-source project.
Is cleanrl free?
Yes. cleanrl is free and open source — you can use, modify and self-host it.
What language is cleanrl written in?
cleanrl is written mainly in Python.
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