13 papers
Congestion Games with Heterogeneous Valuations: An Optimal Transport Approach
Pan-Yang Su, Negar Mehr, Shankar Sastry
In emerging urban mobility and logistics applications, such as advanced air mobility, electric vehicle charging, and shared service systems, agents with heterogeneous valuations ch…
Hierarchical Generative Agents for Simulating Sequential Human Behavior
Maria G. Mendoza, Lucas Waldburger, Jin Lee +1
Complex cognitive, emotional, and social processes shape human evacuations during natural disasters. Accurate modeling and understanding of human behavior in disasters or emergenci…
Dynamic Multi-Robot Task Allocation under Uncertainty and Communication Constraints: A Game-Theoretic Approach
Maria G. Mendoza, Pan-Yang Su, Bryce L. Ferguson +1
We study dynamic multi-robot task allocation under uncertain task completion, time-window constraints, and incomplete information. Tasks arrive online over a finite horizon and mus…
NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
Addison Kalanther, Sanika Bharvirkar, Shankar Sastry +1
Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that interact in shared environments. However, training MARL algorithms in general-…
Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games
Bryce L. Ferguson, Chinmay Maheshwari, Manxi Wu +1
Game-theoretic models and solution concepts provide rigorous tools for predicting collective behavior in multi-agent systems. In practice, however, different agents may rely on dif…
Average Unfairness in Routing Games
Pan-Yang Su, Arwa Alanqary, Bryce L. Ferguson +3
We propose average unfairness as a new measure of fairness in routing games, defined as the ratio between the average latency and the minimum latency experienced by users. This mea…