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W: Workshop T: Tutorial
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IDEvent
May 19 (Mon)
Location(s)
May 20 (Tue)
Location(s)Full Name (with link)
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W1ALA Full dayTBDFull dayTBDAdaptive and Learning Agents
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W2EMAS Full dayTBDFull dayTBD13th International Workshop on Engineering Multi-Agent Systems
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W3EXTRAAMASFull dayTBD--
7th International Workshop on EXplainable and Trustworthy and Responsible AI and Multi-Agent Systems
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W4ARMSFull dayTBD--Autonomous Robots and Multirobot Systems
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W5AASGFull dayTBD--6th International Workshop on Autonomous Agents for Social Good
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W6MABSFull dayTBD--26th International Workshop on Multi-Agent-Based Simulation
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W7SC4AIFull dayTBD--Social Choice for AI Ethics and Safety
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T1Tutorial 1Morning Room 1 (TBD)--Reinforcement Learning for Automated Negotiation (Yasser Mohammad)
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T2Tutorial 2Morning Room 2 (TBD)--Decision Making in Open Agent Systems (Adam Eck, Prashant Doshi, Leen-Kiat Soh)
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T3Tutorial 3Morning Room 3 (TBD)--Theoretical Foundations for Markov Games (Shuai Li, Canzhe Zhao)
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T4Tutorial 4AfternoonRoom 1 (TBD)--
Multi-Agent CoPilot in Industrial AI Applications (Chathurangi Shyalika, Renjith Prasad, Utkarshani Jaimini, Cory Henson, Fadi El Kalach, Amit Sheth)
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T5Tutorial 5AfternoonRoom 2 (TBD)--General Evaluation of AI Agents (Manfred Diaz, Marc Lanctot, Kate Larson, Ian Gemp)
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T6Tutorial 6AfternoonRoom 3 (TBD)--Strategic Reasoning and Strategy Representation (Laurent Perrussel, Munyque Mittellmann)
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DC
Doctoral Consortium
Full dayTBD--AAMAS25 Doctoral Consortium details
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W8C-MAS--Full dayTBD3rd International Workshop on Citizen-Centric Multi-Agent Systems
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W9OptLearnMAS--Full dayTBD16th Workshop on Optimization and Learning in Multi-Agent Systems
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W10COINE--Full dayTBD
Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems
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W11RaD-AI--Full dayTBDRebellion and Disobedience in Artificial Intelligence
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W12GAIW--Full dayTBD7th Games, Agents, and Incentives Workshop
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W13PIPeR--Morning TBDWorkshop on Practical Improvements to Peer Review
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W14JEFF-R--AfternoonTBDJoint Event For Faculty Retirement
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T7Tutorial 7--Morning Room 1 (TBD)Fairness in AI/ML via Social Choice (Evi Micha, Nisarg Shah)
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T8Tutorial 8--Morning Room 2 (TBD)
Hands-on Interaction-oriented Programming (Amit K. Chopra, Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh)
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T9Tutorial 9--Morning Room 3 (TBD)Foundations of Cooperative AI (Vincent Conitzer, Caspar Oesterheld)
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T10Tutorial 10--AfternoonRoom 1 (TBD)
A Concise Introduction to Cooperative Multi-Agent Reinforcement Learning (Chris Amato, Frans Oliehoek)
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T11Tutorial 11--AfternoonRoom 2 (TBD)Multi-Agent and AI Techniques for Decentralised Energy Systems (Valentin Robu, Zita Vale)
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T12Tutorial 12--AfternoonRoom 3 (TBD)
Strategic AI: Bridging Game Theory and Multi-Agent Systems via Autoformalization (Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi)
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