3 papers
math.OC2026
Beyond Nominal Equilibria: Risk-Averse Multi-Population Mean-Field Games
Bhavini Jeloka, Siddhartha Ganguly, Panagiotis Tsiotras
Recent advances in mean-field games and its multi-population variants enable large-scale heterogeneous multi-agent systems to be modeled through representative agents and their ass…
cs.MA2026
Robust Mean-Field Games with Risk Aversion and Bounded Rationality
Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras
Recent advances in mean-field game literature enable the reduction of large-scale multi-agent problems to tractable interactions between a representative agent and a population dis…
cs.MA2025
Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions and Online Opponent Modeling
Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras
While multi-agent reinforcement learning (MARL) has been proven effective across both collaborative and competitive tasks, existing algorithms often struggle to scale to large popu…