by xhyumiracle · Agent Tool · ★ 1.8k
Awesome-AgenticLLM-RL-Papers This is the Official repo for the survey paper: The Landscape of Agentic Reinforcement Learning for LLMs: A Survey ArXiv – https://arxiv.org/abs/2509.02547 HuggingFace – https://huggingface.co/papers/2509.02547 Citation Sec2.7 Agentic RL: Algorithms Clip corresponds to preventing the policy ratio from moving too far from 1 for ensuring stable updates. KL penalty corresponds to penalizing the KL divergence between the learned policy and the reference policy for ensuring alignment.
| Stars | 1,816 |
| Forks | 79 |
| Category | Agent Tool |
| Quality Score | 42.3043701318007/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-18 |
| Created | 2025-08-29 |
| Est. Tokens | ~14k |
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Awesome-AgenticLLM-RL-Papers is an open-source agent tool by xhyumiracle with 1.8k GitHub stars.
You can find installation instructions and usage details in the Awesome-AgenticLLM-RL-Papers GitHub repository at github.com/xhyumiracle/Awesome-AgenticLLM-RL-Papers. The project has 1.8k stars and 79 forks, indicating an active community.