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Stars gained: From May 13, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 14, 2026, each from zero050May 13Nov 14, 2026opendilab/LightZeroikostrikov/pytorch-a2c-ppo-acktr-gail
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3K4KMay 12Nov 14, 2026opendilab/LightZeroikostrikov/pytorch-a2c-ppo-acktr-gail

Facts

Fact opendilab/LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

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).

Stars 1,6633,909
Net stars, last 30 days +13+4
Largest star day +3 on Jun 23, 2026+2 on Jun 22, 2026
Milestone reached in the record NoneNone
Forks 203840
Language PythonPython
License APACHE-2.0MIT
Created Oct 8, 2022Aug 22, 2017
Last push Oct 15, 2026May 29, 2022
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: atari, continuous-control, pytorch, reinforcement-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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