Lizhi-sjtu/DRL-code-pytorch
PyTorch implementations of deep reinforcement learning algorithms including DQN, PPO, DDPG, TD3, and SAC.
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This repository provides concise PyTorch implementations of deep reinforcement learning algorithms. It covers value-based methods (DQN, Rainbow DQN), policy gradient methods (REINFORCE), actor-critic methods (A2C, PPO for both discrete and continuous action spaces), and off-policy actor-critic methods (DDPG, TD3, SAC). The implementations include RNN variants with LSTM and GRU for sequential decision problems.
Frequently asked
- What is Lizhi-sjtu/DRL-code-pytorch?
- PyTorch implementations of deep reinforcement learning algorithms including DQN, PPO, DDPG, TD3, and SAC.
- Is DRL-code-pytorch open source?
- Yes — Lizhi-sjtu/DRL-code-pytorch is open source, released under the MIT license.
- What language is DRL-code-pytorch written in?
- Lizhi-sjtu/DRL-code-pytorch is primarily written in Python.
- How popular is DRL-code-pytorch?
- Lizhi-sjtu/DRL-code-pytorch has 1.5k stars on GitHub.
- Where can I find DRL-code-pytorch?
- Lizhi-sjtu/DRL-code-pytorch is on GitHub at https://github.com/Lizhi-sjtu/DRL-code-pytorch.