ikostrikov / pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Date Created 2017-08-22 (7 years ago)
Commits 274 (last one 3 years ago)
Stargazers 3,668 (7 this week)
Watchers 66 (0 this week)
Forks 830
License mit
Ranking

RepositoryStats indexes 610,149 repositories, of these ikostrikov/pytorch-a2c-ppo-acktr-gail is ranked #13,770 (98th percentile) for total stargazers, and #30,050 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,112/123,095.

ikostrikov/pytorch-a2c-ppo-acktr-gail is also tagged with popular topics, for these it's ranked: deep-learning (#434/8643),  pytorch (#259/6099),  reinforcement-learning (#52/1370),  deep-reinforcement-learning (#20/372)

Other Information

ikostrikov/pytorch-a2c-ppo-acktr-gail has 5 open pull requests on Github, 49 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 84 open issues and 146 closed issues.

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updated: 2025-02-03 @ 03:09am, id: 101081298 / R_kgDOBgZg0g