17 citations · 33 across the 26 of their papers we have counts for
3 papers · 1 filter
Metric-Based Equilibrium Selection in Noncooperative Differentiable Games
Karan Mahesh, Runyu Zhang, Michael R. Benjamin +1
Metric conditioning can change which equilibrium attracts learning dynamics without moving the equilibria of a differentiable game. We study how to use state-dependent symmetric po…
Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework
Runyu Zhang, Gioele Zardini, Asuman Ozdaglar +2
While multi-agent reinforcement learning (MARL) has produced numerous algorithms that converge to Nash or related equilibria, such equilibria are often non-unique and can exhibit w…
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
Runyu Zhang, Yuyang Zhang, Rohit Konda +3
This paper studies the finite-time horizon Markov games where the agents' dynamics are decoupled but the rewards can possibly be coupled across agents. The policy class is restrict…