Shypd.aiThe largest open index of AI toolsMARL-Papers is an Academic Research tool that curates a comprehensive list of research papers on multi-agent reinforcement learning (MARL). It provides an organized collection of tutorials, review papers, and research papers sorted by time.
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MARL-Papers offers a meticulously curated collection of research papers focused on multi-agent reinforcement learning (MARL). This resource is invaluable for researchers and practitioners, providing an organized overview of the field's foundations, modern approaches, and applications. The collection includes tutorials, review papers, and research papers, all sorted chronologically for easy navigation. It covers various sub-topics within MARL, such as joint action learning, cooperation and competition, coordination, security, self-play, learning to communicate, transfer learning, imitation, inverse reinforcement learning, meta-learning, and applications in Large Language Models (LLMs) and robotics. The platform encourages community contributions, making it a dynamic and up-to-date repository for MARL literature.
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