LantaoYu/MARL-Papers
A curated collection of research papers on multi-agent reinforcement learning with sections covering MARL applications in LLMs and robotics.
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This repository organizes and maintains a comprehensive bibliography of multi-agent reinforcement learning research papers, sorted chronologically. It covers standard MARL topics such as cooperation, competition, coordination, and communication, as well as emerging applications including MARL in large language models and robotics. The collection includes tutorials, review papers, and research papers organized by subtopic for researchers studying multi-agent systems and reinforcement learning.
Frequently asked
- What is LantaoYu/MARL-Papers?
- A curated collection of research papers on multi-agent reinforcement learning with sections covering MARL applications in LLMs and robotics.
- Is MARL-Papers open source?
- Yes — LantaoYu/MARL-Papers is an open-source project tracked on heatdrop.
- How popular is MARL-Papers?
- LantaoYu/MARL-Papers has 4.8k stars on GitHub.
- Where can I find MARL-Papers?
- LantaoYu/MARL-Papers is on GitHub at https://github.com/LantaoYu/MARL-Papers.