# Lizhi-sjtu/DRL-code-pytorch

<https://repo.masters-masters.com/en/repos/Lizhi-sjtu/DRL-code-pytorch>

[Home](https://repo.masters-masters.com/en) › [Lizhi-sjtu](https://repo.masters-masters.com/en/owners/Lizhi-sjtu) › [DRL-code-pytorch](https://repo.masters-masters.com/en/repos/Lizhi-sjtu/DRL-code-pytorch)

Lizhi-sjtu/DRL-code-pytorch has 1,491 stars on GitHub. Its RepoMasters card: Beta tier. Concise pytorch implements of DRL algorithms, including REINFORCE…

| Field | Value |
| --- | --- |
| Owner | [Lizhi-sjtu](https://repo.masters-masters.com/en/owners/Lizhi-sjtu) |
| Stars | 1,491 |
| Forks | 206 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | ddpg-pytorch, dqn-pytorch, ppo-pytorch, pytorch, rainbow-dqn, reinforcement-learning, sac-pytorch, td3-pytorch, ppo-gru, ppo-lstm |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Lizhi-sjtu/DRL-code-pytorch](https://github.com/Lizhi-sjtu/DRL-code-pytorch) |

## Repository

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.