# RITCHIEHuang/DeepRL\_Algorithms

<https://repo.masters-masters.com/en/repos/RITCHIEHuang/DeepRL_Algorithms>

[Home](https://repo.masters-masters.com/en) › [RITCHIEHuang](https://repo.masters-masters.com/en/owners/RITCHIEHuang) › [DeepRL\_Algorithms](https://repo.masters-masters.com/en/repos/RITCHIEHuang/DeepRL_Algorithms)

RITCHIEHuang/DeepRL\_Algorithms has 354 stars on GitHub. Its RepoMasters card: Alpha tier. DeepRL algorithms implementation easy for understanding and reading…

| Field | Value |
| --- | --- |
| Owner | [RITCHIEHuang](https://repo.masters-masters.com/en/owners/RITCHIEHuang) |
| Stars | 354 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | reinforcement, reinforcement-learning-algorithms, pytorch-implementation, deep-reinforcement-learning, dqn, policygradient, ppo, trpo, mujoco, policy-gradient |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [RITCHIEHuang/DeepRL\_Algorithms](https://github.com/RITCHIEHuang/DeepRL_Algorithms) |

## Repository

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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