Skip to content


Here are 191 public repositories matching this topic...

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).

  • Updated May 29, 2022
  • Python

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

  • Updated Jan 16, 2021
  • Python

Improve this page

Add a description, image, and links to the proximal-policy-optimization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the proximal-policy-optimization topic, visit your repo's landing page and select "manage topics."

Learn more