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 2 years ago)

Stargazers 3,594 (-1 this week)

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Forks 829

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RepositoryStats indexes 579,238 repositories, of these ikostrikov/pytorch-a2c-ppo-acktr-gail is ranked #13,579 (98th percentile) for total stargazers, and #29,792 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,043/115,001.

ikostrikov/pytorch-a2c-ppo-acktr-gail is also tagged with popular topics, for these it's ranked: deep-learning (#435/8339), pytorch (#253/5908), reinforcement-learning (#51/1293), deep-reinforcement-learning (#20/361)

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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 83 open issues and 146 closed issues.

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updated: 2024-11-06 @ 10:27pm, id: 101081298 / R_kgDOBgZg0g