nikhilbarhate99 / PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Date Created 2018-09-27 (5 years ago)

Commits 98 (last one 5 months ago)

Stargazers 1,516 (6 this week)

Watchers 9 (0 this week)

Forks 328

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these nikhilbarhate99/PPO-PyTorch is ranked #32,179 (94th percentile) for total stargazers, and #215,092 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #4,809/100,813.

nikhilbarhate99/PPO-PyTorch is also tagged with popular topics, for these it's ranked: deep-learning (#890/7720), pytorch (#551/5505), reinforcement-learning (#111/1166), deep-reinforcement-learning (#40/332)

Other Information

nikhilbarhate99/PPO-PyTorch has 1 open pull request on Github, 6 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 13 open issues and 46 closed issues.

All Topics

ppo pytorch ppo-pytorch deep-learning policy-gradient pytorch-tutorial pytorch-implmention reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-algorithms

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

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The only known language in this repository is Python

updated: 2024-05-31 @ 08:52pm, id: 150605839 / R_kgDOCPoQDw