Doctoral Consortium

NOTE: The timetable and location information for workshops, tutorials, the doctoral consortium (DC), and competitions can be viewed at a glance here.

The Doctoral Consortium (DC) is a full-day event to be held on Monday 19 May in Ambassador Salon 3, 3rd Floor.

The list of accepted contributions to the DC is provided below. We will update the page as further information, in particular the schedule of presentations and the list of mentors, is finalized.

Title	Author	Affiliation	Country
Informed Decision-Making via Voting	Qishen Han	Rutgers University	United States
Test-Time Adaptive Team-Aware Hierarchical Planning in Cooperative Multi-Agent Systems	Koorosh Moslemi	University of Toronto	Canada
Game-Theoretic Multi-Agent Reinforcement Learning for Offline Equilibrium Discovery from Fixed Datasets	Austin Nguyen	University of Michigan	United States
Safe Multi-Agent Learning via Shielding in Decentralized Environments	Daniel Melcer	Northeastern University	United States
Bi-Level Reinforcement Learning for Multi-Robot Systems	Arjun Prakash	Brown University	United States
Humanlike Emergent Language in Multi-Agent Systems	Jannik Peters	University of Wuppertal	Germany
The Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity	Alexandre Pires	University of Amsterdam, Informatics Institute	Netherlands
Balancing Fairness and Efficiency in the Allocation of Indivisible Goods	Karen Frilya Celine	National University of Singapore	Singapore
Learning with Less Effort:Efficient Training and Generalization in (Multi-)Robot Systems	Peihong Yu	University of Maryland, College Park	United States
Modeling and Optimizing Agent-Based Model of Conflict-Induced Forced Migration	Zakaria Mehrab	University of Virginia	United States
Human Influences on Decision Making in Sociotechnical Multi-Agent Systems	Daniel Collins	University of Bristol	United Kingdom
Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction	Enrique Mateos-Melero	Universidad Carlos III de Madrid	Spain
Agent-Based Modeling of Smart Sustainable Mobility Services, Markets, and Policy	Janik Muires	University of Cologne	Germany
Ethical Decision-Making in Multi-Agent Systems	Jessica Woodgate	University of Bristol	United Kingdom
Deep Learning approaches to Goal Recognition	Lorenzo Serina	Università degli Studi di Brescia	Italy
IntelliMAS: Self-Correcting Multi-Agent Systems with LLM-Driven State Machines for VRP Optimization	Rishabh Agrawal	University of Western Ontario	Canada
Game-Family Learning for Simulation-Based Games	Madelyn Gatchel	University of Michigan	United States
Hierarchical Frameworks for Scaling-up Multi-agent Coordination	Minghong Geng	Singapore Management University	Singapore
Collective Decision Making via Automated Reasoning	Ari Conati	University of Helsinki	Finland
Distributed Decision Architecture for Multi-Robot Systems and Interactions	Victor Guillet	DTIS, ONERA, Universite de Toulouse	France
Different Models for Fair and Efficient Resource Allocation	Bin Sun	TU Clausthal	Germany
Causality in Multi-Agent Systems	Sylvia S. Kerkhove	Utrecht University	Netherlands
Arificial Intelligence, Human Agency and Social Decision-Making in Water Management Systems	Blanca Luque Capellas	Johannes Gutenberg University Mainz	Germany
Responsible Autonomy for Hybrid Intelligence	Anastasia S. Apeiron	Utrecht University	Netherlands
Environment-Centered Design of Ethical Environments	Arnau Mayoral-Macau	IIIA-CSIC	Spain
Principled Transfer Learning for Scalable Cooperative Multi-Agent Reinforcement Learning	Simon Rosen	University of the Witwatersrand	South Africa
Multi-Agent Multi-Objective Planning with Contextual Lexicographic Reward Preferences	Pulkit Rustagi	Oregon State University	United States
Learning Diverse Multiagent Behaviors	Ayhan Alp Aydeniz	Oregon State University	United States
Influence Based Reward Shaping in Multiagent Systems	Everardo Gonzalez	Oregon State University	United States
Role of State in Partially Observable Reinforcement Learning	Andrea Baisero	Northeastern University	United States

Program Committee

We are thankful to the Doctoral Consortium Program Committee, whose members are listed below, for reviewing and assessing the submitted extended abstracts:

Name	Affiliation
Noa Agmon	Bar-Ilan university
Natasha Alechina	Open Universiteit
Christopher Amato	Northeastern University
Francesco Amigoni	Politecnico di Milano
Reyhan Aydogan	Ozyegin University
Matteo Baldoni	Dipartimento di Informatica, Univ. di Torino
Cristina Baroglio	Dipartimento di Informatica, Università di Torino
Dorothea Baumeister	Federal University of Applied Administrative Sciences
Joydeep Biswas	The University of Texas at Austin
Andrei Ciortea	University of St. Gallen
Mehdi Dastani	Utrecht University
Edith Elkind	University of Oxford
Ulle Endriss	University of Amsterdam
Piotr Faliszewski	AGH University of Science and Technology
Kobi Gal	Ben Gurion University
Enrico Gerding	University of Southampton
Maria Gini	University of Minnesota
Davide Grossi	University of Groningen
Ayumi Igarashi	National Institute of Informatics
Marc Lanctot	DeepMind
Jérôme Lang	CNRS, LAMSADE, Université Paris-Dauphine
Kate Larson	University of Waterloo
Minming Li	City University of Hong Kong
Brian Logan	Utrecht University
Jean-Guy Mailly	Université Toulouse Capitole, IRIT, Toulouse, France
Patrick Mannion	National University of Ireland Galway
Viviana Mascardi	University of GENOVA
Nicholas Mattei	Tulane University
Felipe Meneguzzi	University of Aberdeen
Ann Nowe	Vrije Universiteit Brussel
Baharak Rastegari	University of Southampton
Juan Antonio Rodriguez Aguilar	IIIA-CSIC
Fernando Santos	University of Amsterdam
Erel Segal-Halevi	Ariel University
Sebastian Stein	University of Southampton
Peter Stone	The University of Texas at Austin and Sony AI
Gita Sukthankar	University of Central Florida
Samarth Swarup	University of Virginia
Paolo Turrini	University of Warwick
Lirong Xia	RPI
Makoto Yokoo	Kyushu University
Yingqian Zhang	Eindhoven University of Technology