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)
Train various reinforcement learning algorithms from scratch using PyTorch.
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Free · no card · unsubscribe anytimeClean, 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.
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 is an open-source project.
Yes. DRL-Pytorch is free and open source — you can use, modify and self-host it.
DRL-Pytorch is written mainly in Python.
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