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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).

Observed OCT 8, 2026 · 00:08 UTC

Facts

Language
Python
License
mit
Created
AUG 22, 2017
Last push
Last release
None recorded

Measurements

Stars
3,904
Forks
841
7D change
Collectingfrom OCT 9
30D change
Collectingfrom NOV 1
90D change
Collectingfrom DEC 31
Velocity
Collectingfrom OCT 16
Acceleration
Collectingfrom OCT 23
Trajectory
Collectingfrom OCT 16
Trending percentile
Collectingfrom OCT 16

Categories

Technologies

Star history

Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.

3.9K3.9KJUL 10JUL 31AUG 21SEP 11OCT 2OCT 2: 3,904 stars
Observed days (1)
DayStarsForks
OCT 23,904841