Multi-Agent Reinforcement Learning

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MARL

A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, al

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First seen: Mar 6, 2026Last active: 4h agoWikipedia

Timeline

Research MilestoneMar 16, 2026
Theoretical breakthrough establishing quasi-polynomial time bounds for partially observable multi-agent systems
Research MilestoneMar 6, 2026
New MARL framework introduced for competitive pricing and fleet rebalancing in mobility markets
application:
dynamic pricing and fleet management
method:
competitive multi-operator reinforcement learning

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Discrete Choice Theory
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arXiv
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