lcswillems / torch-ac

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Date Created 2019-04-07 (5 years ago)

Commits 25 (last one about a year ago)

Stargazers 190 (0 this week)

Watchers 8 (0 this week)

Forks 64

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RepositoryStats indexes 534,551 repositories, of these lcswillems/torch-ac is ranked #174,611 (67th percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,255/103,470.

lcswillems/torch-ac is also tagged with popular topics, for these it's ranked: pytorch (#2,400/5588), reinforcement-learning (#496/1189), deep-reinforcement-learning (#167/337)

Other Information

lcswillems/torch-ac has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 1 closed issue.

All Topics

a2c a3c ppo pytorch minigrid recurrent actor-critic multi-process reward-shaping advantage-actor-critic reinforcement-learning recurrent-neural-networks deep-reinforcement-learning proximal-policy-optimization

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7 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-05-17 @ 02:48pm, id: 179939383 / R_kgDOCrmoNw