Abstract

At the Rump Session workshop attendees were invited to speak for 5 minutes about their own related research, others' research, an open problem, a new idea, or anything else relevant to the workshop. Use of slides was optional.

List of presenters (with slides when available):

Learning Non-Truthful Mechanisms
Gianluca Brero, Brown University

Incentives and Fairness in Societal Resource Allocation
Sanmay Das, George Mason University

Near-optimal No-regret Learning Dynamics for Extensive-form Games
Gabriele Farina, Carnegie Mellon University

Game Theory for Network Evolution
Jie Gao, Rutgers University

Additive Context-Dependent Preferences
Stephan Jagau, University of California, Irvine

Some Methods for Solving Stackelberg Equilibrium in EFGs (TBC)
Chun Kai Ling, Carnegie Mellon University

Learning to Learn in Multiagent Reinforcement Learning
Miao Liu, META Reality Labs

Advances in Double Oracle Algorithms
Stephen McAleer, Carnegie Mellon University

Negotiation Protocols for Climate Policy
Max Puelma-Touzel, University of Montreal

Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Matthew Riemer, IBM Research

Learning-augmented Mechanism Design
Xizhi Tan, Drexel University

Multi-agent Performative Prediction
Fang-Yi Yu, George Mason University

Mediation in Extensive-form Games? (TBC)
Brian Zhang, Carnegie Mellon University