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Topics: a2c

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2 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: a2c
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1.vwxyzjn / cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

wandb
reinforcement-learning
pytorch
python
gym
machine-learning
+10 more

Python Other license11K total1.2K forks

+151 stars

from 10,475 · score 5.02

2.thu-ml / tianshou

An elegant PyTorch deep reinforcement learning library.

pytorch
policy-gradient
dqn
double-dqn
a2c
ddpg
+13 more

Python MIT11K total1.4K forks

+51 stars

from 10,997 · score 3.95

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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