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CleanRL @cleanrl_lib

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) cleanrl.dev Philadelphia, PA Joined June 2022
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CleanRL retweeted
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Chang Ye @yooceii

3 years ago

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👇

CleanRL retweeted
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Costa Huang @vwxyzjn

3 years ago

Thanks to @_joaogui1's awesome contribution 🙏, @cleanrl_lib now has a TD3 + JAX implementation that is 2-4x faster than the TD3 + @PyTorch equivalent 🔥. Running on TPU is now possible, too 🚀! 📜 docs: docs.cleanrl.dev/rl-algorithms/… 💾 code: github.com/vwxyzjn/cleanr… A short 🧵1/x

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