# yifanzhang-pro/FlashREINFORCE > Asynchronous reinforcement-learning framework for agentic language models: one rollout per prompt, critic-free, with token importance sampling and sequence trust region to control policy drift. - Magnitude: 0.0 out of 10 — Steady - Stars: 95 total · +0 stars on 2026-09-29 (UTC), ≈ 0 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-14 · Last push: 2026-09-14 - GitHub: https://github.com/yifanzhang-pro/FlashREINFORCE · Homepage: https://yifanzhang-pro.github.io/FlashREINFORCE/ · Page: https://gitnova.dev/en/r/yifanzhang-pro/FlashREINFORCE ## Useful for - Train an agentic LLM on long reasoning chains without a critic or group rollouts - Run the CPU toy_update.py example to verify an optimizer update - Reproduce experiments on Qwen2.5-Math or DeepSeek-R1-Distill via Molt launchers ## Why it’s here - The repository is 15 days old and already has 95 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 9 - Issues and pull requests: 3 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 6 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 13 days 09-17 0.8, 09-18 0.8, 09-19 1.1, 09-20 1.0, 09-21 2.0, 09-22 1.7, 09-23 0.4, 09-24 0.4, 09-25 0.0, 09-26 0.0, 09-27 0.0, 09-28 0.0, 09-29 0.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-29 08:20 UTC, updated every 30 minutes.