# nikhilbarhate99/PPO-PyTorch

<https://repo.masters-masters.com/en/repos/nikhilbarhate99/PPO-PyTorch>

[Home](https://repo.masters-masters.com/en) › [nikhilbarhate99](https://repo.masters-masters.com/en/owners/nikhilbarhate99) › [PPO-PyTorch](https://repo.masters-masters.com/en/repos/nikhilbarhate99/PPO-PyTorch)

nikhilbarhate99/PPO-PyTorch has 2,390 stars on GitHub. Its RepoMasters card: RC tier. Minimal implementation of clipped objective Proximal Policy Optimization…

| Field | Value |
| --- | --- |
| Owner | [nikhilbarhate99](https://repo.masters-masters.com/en/owners/nikhilbarhate99) |
| Stars | 2,390 |
| Forks | 418 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | pytorch-implmention, pytorch, pytorch-tutorial, proximal-policy-optimization, reinforcement-learning-algorithms, deep-reinforcement-learning, ppo, policy-gradient, ppo-pytorch, deep-learning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [nikhilbarhate99/PPO-PyTorch](https://github.com/nikhilbarhate99/PPO-PyTorch) |

## Repository

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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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