CleanRL

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CleanRL

CleanRL

@cleanrl_lib

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

Philadelphia, PA Katılım Haziran 2022
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Chang Ye
Chang Ye@yooceii·
Happy to share that @cleanrl_lib now supports Random Network Distillation + envpool, it's 3× faster than our first version without envpool and still have comparable performance to the original implementation, say 👋 to the long training time on hard-exploration games! Details👇
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