sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of classic and state-of-the-art deep reinforcement learning algorithms.
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This repository provides clear PyTorch implementations of deep reinforcement learning algorithms including DQN, A2C, A3C, PPO, DDPG, TRPO, SAC, and TD3. It serves as an educational resource for learning deep RL algorithms, with support for training agents in OpenAI Gym environments.
Frequently asked
- What is sweetice/Deep-reinforcement-learning-with-pytorch?
- PyTorch implementation of classic and state-of-the-art deep reinforcement learning algorithms.
- Is Deep-reinforcement-learning-with-pytorch open source?
- Yes — sweetice/Deep-reinforcement-learning-with-pytorch is open source, released under the MIT license.
- What language is Deep-reinforcement-learning-with-pytorch written in?
- sweetice/Deep-reinforcement-learning-with-pytorch is primarily written in Python.
- How popular is Deep-reinforcement-learning-with-pytorch?
- sweetice/Deep-reinforcement-learning-with-pytorch has 4.6k stars on GitHub.
- Where can I find Deep-reinforcement-learning-with-pytorch?
- sweetice/Deep-reinforcement-learning-with-pytorch is on GitHub at https://github.com/sweetice/Deep-reinforcement-learning-with-pytorch.