The Second MOASEI Competition, held in 2026, evaluated multi-agent decision-making systems. This year's competition included wildfire fighting, cybersecurity, and ride-sharing domains, with an added bonus wildfire track featuring dynamic agent equipment states. While eight teams registered, only one submitted a final entry, which utilized a DLC approach for the ride-sharing track. This DLC approach, focusing on planning and replanning for routing problems, was recognized as the winner for the ride-sharing domain. AI
IMPACT This competition highlights advancements in multi-agent decision-making, potentially influencing future research in areas like autonomous systems and complex problem-solving.
RANK_REASON This is a technical report detailing a competition and its results, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.MA (Multiagent) →
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