Awesome-Agent-Papers and Awesome-Papers-Autonomous-Agent
These are **complements** that together provide broader coverage of agent research: one focuses specifically on LLM-based agents while the other covers both reinforcement learning-based and LLM-based approaches, allowing researchers to cross-reference methodologies across different agent paradigms.
About Awesome-Agent-Papers
luo-junyu/Awesome-Agent-Papers
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
This collection helps AI researchers and practitioners stay current with the rapidly evolving field of Large Language Model (LLM) agents. It provides a structured list of research papers, categorized by aspects like agent construction, collaboration, tools, and applications. If you're building or studying LLM agents, this resource offers a comprehensive overview of the latest methodologies and implementations.
About Awesome-Papers-Autonomous-Agent
lafmdp/Awesome-Papers-Autonomous-Agent
A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
This collection helps AI researchers and practitioners stay up-to-date on the latest advancements in building autonomous agents. It categorizes recent academic papers on agents that perceive their environment, act to achieve goals, and learn, specifically focusing on Reinforcement Learning-based and Large Language Model-based approaches. This is for anyone interested in designing or understanding intelligent systems that can operate independently.
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