RITCHIEHuang / DeepRL_Algorithms

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

Date Created 2019-07-30 (5 years ago)

Commits 24 (last one 3 years ago)

Stargazers 330 (0 this week)

Watchers 10 (0 this week)

Forks 39

License unknown

Ranking

RepositoryStats indexes 634,026 repositories, of these RITCHIEHuang/DeepRL_Algorithms is ranked #130,339 (79th percentile) for total stargazers, and #201,067 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,778/129,650.

RITCHIEHuang/DeepRL_Algorithms is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#130/380), tensorflow2 (#55/254)

Other Information

RITCHIEHuang/DeepRL_Algorithms has 2 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 10 closed issues.

All Topics

dqn ppo td3 trpo mujoco pytorch-rl tensorflow2 reinforcement policygradient policy-gradient soft-actor-critic pytorch-implementation deep-reinforcement-learning reinforcement-learning-algorithms

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updated: 2025-03-22 @ 02:31pm, id: 199644423 / R_kgDOC-ZVBw