Repository · GitHub

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).

View on GitHubReport an issue

Owner	ikostrikov
License (as declared)	MIT
Stars	3,908
Forks	841
Main language	Python
Created	22 August 2017
Last updated at source	29 May 2022

pythona2cacktractor-criticadvantage-actor-criticaleataricontinuous-controldeep-learningdeep-reinforcement-learninghessiankfackronecker-factored-approximationmujoconatural-gradientsppoproximal-policy-optimizationpytorchreinforcement-learningroboschoolsecond-order

Embed this entry

<iframe src="https://silytics.si/embed/item/16754290-8809-4c64-97cc-4e4ff512ee8a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from ikostrikov

pytorch-a3cRepository

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.