Abstract

List of Posters:

• Generative Adversarial Equilibrium Solvers, Denizalp Goktas
• Stackelberg Games with Side Information, Keegan Harris
• Self-Confirming Transformer for Locally Consistent Online Adaptation in Multi-Agent Reinforcement Learning, Tao Li
• LLM-augmented Preference Learning from Natural Language, Farhad Mohsin
• Strategic Knowledge Transfer, Max Smith
• Game-theoretic Algorithms for Reinforcement Learning from Human Feedback, Gokul Swamy
• On Learning Latent Models with Multi-Instance Weak Supervision, Kaifu Wang
• Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality, Jibang Wu
• Generative Social Choice, Manuel Wüthrich
• Mechanism Design with Large Language Models, Haifeng Xu
• Causal Reasoning with LLMs: Problems, explorations, intuitions, and beyond, Jiayao Zhang