Doctoral Consortium Schedule
DATE & TIME: Monday, May 19, 8:30 – 18:00
LOCATION: Ambassador Ballroom Salon 3, 3rd Floor
CHAIRS: Reshef Meir, Roxana Rădulescu
CONTACT: [email protected]
DC participants must first check in and collect their badges at the registration desk on the 3rd floor before proceeding to the DC location.
Program Overview
| 08:30 – 09:00 | Arrival & Registration |
| 09:00 – 09:15 | Opening Session |
| 09:15 – 10:00 | Group 1 Elevator Pitches (~3 minutes per speaker) |
| 10:00 – 11:30 | Group 1 Poster Session (and coffee break) |
| 11:30 – 12:30 | Invited Talk |
| 12:30 – 14:00 | Lunch (provided) |
| 14:00 – 15:00 | Plenary Discussion |
| 15:00 – 15:45 | Group 2 Elevator Pitches (~3 minutes per speaker) |
| 15:45 – 17:00 | Group 2 Poster Session (and coffee break) |
| 17:00 – 18:00 | Career Panel |
Invited Talk (SLIDES)
SPEAKER: Ulle Endriss
TITLE: How to write a review
ABSTRACT: During this talk we will be discussing best practices for writing reviews for papers submitted to AI conferences and journals. We also will be touching on difficult questions such as these: Who should write the reviews? Should they be paid for their work? Should they always read the supplementary material? Should the reviewing process be anonymous and what does that entail?
BIO: Ulle Endriss is Professor of AI and Collective Decision Making at the University of Amsterdam. Much of his research is concerned with the application of ideas originating in computer science to problems arising in economics and politics. Closely related to the topic of this talk, he served on the programme committees of well over 100 conferences and workshops; he was Associate Editor of JAAMAS, AIJ and JAIR; and he had the role of PC chair at both AAMAS-2021 and ECAI-2024.
Plenary Discussion
TOPIC: The peer review process
CHAIR: Reshef Meir
Pitches and Poster Groups
Group 1 (Elevator pitches 9:15 – 10:00, Poster session 10:00 – 11:30):
| Presenter | Title | |
|---|---|---|
| 1 | Janik Muires | Agent-Based Modeling of Smart Sustainable Mobility Services, Markets, and Policy |
| 2 | Peihong Yu | Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems |
| 3 | Arjun Prakash | Bi-Level Reinforcement Learning for Multi-Robot Systems |
| 4 | Sylvia S. Kerkhove | Causality in Multi-Agent Systems |
| 5 | Karen Frilya Celine | Balancing Fairness and Efficiency in the Allocation of Indivisible Goods |
| 6 | Ari Conati | Collective Decision Making via Automated Reasoning |
| 7 | Zakaria Mehrab | Modeling and Optimizing Agent-Based Model of Conflict-Induced Forced Migration |
| 8 | Anastasia Apeiron | Responsible Autonomy for Hybrid Intelligence |
| 9 | Alexandre Pires | The Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity |
| 10 | Daniel Collins | Human Influences on Decision Making in Sociotechnical Multi-Agent Systems |
| 11 | Jessica Woodgate | Ethical Decision-Making in Multi-Agent Systems |
| 12 | Pulkit Rustagi | Multi-Agent Multi-Objective Planning with Contextual Lexicographic Reward Preferences |
| 13 | Arnau Mayoral-Macau | Environment-Centered Design of Ethical Environments |
Group 2 (Elevator pitches 15:00 – 15:45, Poster session 15:45 – 17:00):
| Presenter | Title | |
|---|---|---|
| 1 | Madelyn Gatchel | Game-Family Learning for Simulation-Based Games |
| 2 | Bin Sun | Different Models for Fair and Efficient Resource Allocation |
| 3 | Enrique Mateos-Melero | Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction |
| 4 | Ayhan Alp Aydeniz | Learning Diverse Multiagent Behaviors |
| 5 | Victor Guillet | Distributed Decision Architecture for Multi-Robot Systems and Interactions |
| 6 | Everardo Gonzalez | Influence Based Reward Shaping in Multiagent Systems |
| 7 | Lorenzo Serina | Deep Learning approaches to Goal Recognition |
| 8 | Andrea Baisero | Role of State in Partially Observable Reinforcement Learning |
| 9 | Minghong Geng | Hierarchical Frameworks for Scaling-up Multi-agent Coordination |
| 10 | Jannik Peters | Humanlike Emergent Language in Multi-Agent Systems |
| 11 | Qishen Han | Informed Decision-Making via Voting |
| 12 | Daniel Melcer | Safe Multi-Agent Learning via Shielding in Decentralized Environments |
Career Panel
PANELISTS:
Yali Du (King’s College London)
Fei Fang (Carnegie Mellon University)
Valentin Robu (Eindhoven University of Technology)
Yair Zick (University of Massachusetts)
Felipe Leno Da Silva (Lawrence Livermore National Lab)
CHAIR: Roxana Rădulescu
Further information on individuals involved in the doctoral consortium can be found on this page, including the list of mentors.