awesome-LLM-game-agent-papers and Awesome-Agent-Papers
These are complements: the first focuses specifically on game-based agents while the second provides broader methodological coverage of LLM agents across all domains, so researchers would consult both to understand agent design patterns in gaming versus general applications.
About awesome-LLM-game-agent-papers
git-disl/awesome-LLM-game-agent-papers
A Survey on Large Language Model-Based Game Agents
This resource provides a curated collection of research papers focused on using Large Language Models (LLMs) to create intelligent agents for various types of games. It gathers academic insights into how LLMs can power game characters, going beyond simple scripts to enable more dynamic and responsive behavior. Game developers, AI researchers, and computational designers interested in advanced game AI will find this useful.
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.
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