Home› Projects› PPO-PyTorch
PPO-PyTorch
Python

PPO-PyTorch

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

by nikhilbarhate99 · GitHub
2.4k
Stars
423
Forks
MIT
License
2018
Created
2 yr ago
Last commit
deep-learning
Category
Python
Language
deep-learningdeep-reinforcement-learningpolicy-gradientMITPython
View on GitHub
In plain words

Train and test reinforcement learning models using a simple setup in Python for various environments.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
PPO-PyTorch — GitHub preview card
📈 Star history
2.37k2.36k
2026-07-072026-08-31
📈 Track PPO-PyTorch

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

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

PPO-PyTorch has 2.4k stars on GitHub. It has been forked 423 times. PPO-PyTorch is written mainly in Python. It has been in active development since 2018. PPO-PyTorch is available under the MIT license. Its main topics are deep-learning, deep-reinforcement-learning, policy-gradient, ppo.

❓ Frequently asked questions

What is PPO-PyTorch?

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

Is PPO-PyTorch open source?

PPO-PyTorch is an open-source project. It is released under the MIT license.

Is PPO-PyTorch free?

Yes. PPO-PyTorch is free and open source — you can use, modify and self-host it.

What license does PPO-PyTorch use?

PPO-PyTorch is available under the MIT license.

What language is PPO-PyTorch written in?

PPO-PyTorch is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — PPO-PyTorch

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=nikhilbarhate99-ppo-pytorch)](https://olud.ai/project/nikhilbarhate99-ppo-pytorch.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
purejaxrl
Really Fast End-to-End Jax RL Implementations
★ 1.1k · deep-reinforcement-learning
sharesppodeep-reinforcement-learning
PPO-for-Beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyy…
★ 1.3k · machine-learning
sharesppo
trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
★ 363 · machine-learning
sharespolicy-gradient
rl_algorithms
Structural implementation of RL key algorithms
★ 517 · deep-learning
sharespolicy-gradient
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
★ 1.7k · deep-learning
sharesdeep-reinforcement-learning
Awesome-RL-for-Video-Generation
A curated list of papers on reinforcement learning for video generation
★ 565 · dpo
sharesppo
hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
★ 1.6k · deep-reinforcement-learning
sharesdeep-reinforcement-learning
rl-collision-avoidance
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance v…
★ 458 · collision-avoidance
sharesppo
deeplearning-guide
An evolving guide to learning Deep Learning effectively.
★ 713 · computer-vision
sharesdeep-reinforcement-learning
PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
★ 1.1k · agent
sharesdeep-reinforcement-learning

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.