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DRL-Pytorch
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DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

by XinJingHao · GitHub
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aslc51categorical-dqnPython
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Train various reinforcement learning algorithms from scratch using PyTorch.

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2026-07-072026-08-31
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Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

DRL-Pytorch has 3.4k stars on GitHub. It has been forked 387 times. DRL-Pytorch is written mainly in Python. It has been in active development since 2021. Its main topics are asl, c51, categorical-dqn, ddpg.

Frequently asked questions

What is DRL-Pytorch?

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Is DRL-Pytorch open source?

DRL-Pytorch is an open-source project.

Is DRL-Pytorch free?

Yes. DRL-Pytorch is free and open source — you can use, modify and self-host it.

What language is DRL-Pytorch written in?

DRL-Pytorch is written mainly in Python.

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