37 citations · 58 across the 10 of their papers we have counts for
6 papers · 1 filter
Fictitious Play in Extensive-Form Games of Imperfect Information
Jason Castiglione, Gürdal Arslan
We study the long-term behavior of the fictitious play process in repeated extensive-form games of imperfect information with perfect recall. Each player maintains incorrect belief…
Satisficing Paths to Equilibrium, Generalized Weakly Acyclic Games, and Learning
Bora Yongacoglu, Gwendolen Hickey, Gürdal Arslan +2
Weakly acyclic games generalize potential games and have shown to be fundamental in the study of multi-agent learning as they allow for convergence to an equilibrium via best-respo…
Paths to Equilibrium in Games
Bora Yongacoglu, Gürdal Arslan, Lacra Pavel +1
In multi-agent reinforcement learning (MARL) and game theory, agents repeatedly interact and revise their strategies as new data arrives, producing a sequence of strategy profiles.…
Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
Bora Yongacoglu, Gürdal Arslan, Serdar Yüksel
Non-stationarity is a fundamental challenge in multi-agent reinforcement learning (MARL), where agents update their behaviour as they learn. Many theoretical advances in MARL avoid…
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
Bora Yongacoglu, Gürdal Arslan, Serdar Yüksel
Independent learners are agents that employ single-agent algorithms in multi-agent systems, intentionally ignoring the effect of other strategic agents. This paper studies mean-fie…
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
Bora Yongacoglu, Gürdal Arslan, Serdar Yüksel
In multi-agent reinforcement learning (MARL), independent learners are those that do not observe the actions of other agents in the system. Due to the decentralization of informati…