Shypd.aiThe largest open index of AI toolsAwesome-AgenticLLM-RL-Papers is a research & education tool that curates papers on agentic reinforcement learning for LLMs. It serves as an official repository for a survey paper on the topic, providing a structured overview of algorithms and applications.
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Awesome-AgenticLLM-RL-Papers is the official repository for the survey paper "The Landscape of Agentic Reinforcement Learning for LLMs: A Survey." This open-source project provides a comprehensive collection of research papers related to agentic reinforcement learning (RL) for large language models (LLMs). It categorizes methods by objective (PPO family, DPO family, GRPO family) and by task (Search & Research Agent, Code Agent, Mathematical Agent, GUI Agent, Multi-Agent Systems), detailing key mechanisms, base LLMs used, and links to papers, code, and models. Researchers and academics can use this resource to explore the latest advancements and methodologies in this rapidly evolving field.
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