Back to rankings

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).

Repository stars
3,909All-time #15,798
Fork
840
Last push
updated 4 years ago
Repository created
since 2017
Apps & systemsGeneralPythonMIT · Permissive
View source

About

Summarised by AI from the README; the original prevails

Author description: 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).

Basic listing based on official public information; functionality has not been independently evaluated.

Check before adopting

  • No pushes for over 6 months (last 2022-05-29); check whether it is maintained.
Platform
Not verified
Pricing
Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Maintenance notes
Not verified

Star trend

3,9093,9103,91011-03 · 3,90911-06 · 3,90910-0810-1310-1810-2310-2811-0211-06
Raw observations · 3
Historical observations
Measured atRepository starsSource
2026-11-07 00:19 UTC3,909Source
2026-11-06 08:52 UTC3,909Source
2026-11-03 09:38 UTC3,909Source

First collected 2026-11-03Measured at 2026-11-07 00:19 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.