Decentralized Q-Learning with Constant Aspirations in Stochastic Games. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (ACSSC, 2019)

Reinforcement Learning for Decentralized Stochastic Control. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CDC, 2019)

An Independent Learning Algorithm for a Class of Symmetric Stochastic Games. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CoRR, 2021)

Independent Learning and Subjectivity in Mean-Field Games. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CDC, 2022)

Independent Learning in Mean-Field Games: Satisficing Paths and Convergence to Subjective Equilibria. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CoRR, 2022)

Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games With Local Control and Global State Information. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (IEEE Trans. Autom. Control., 2022)

Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games. - Awni Altabaa; Bora Yongacoglu; Serdar Yüksel (ACC, 2023)

Asynchronous Decentralized Q-Learning in Stochastic Games. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CDC, 2023)

Asynchronous Decentralized Q-Learning: Two Timescale Analysis By Persistence. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (CoRR, 2023)

Satisficing Paths and Independent Multiagent Reinforcement Learning in Stochastic Games. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (SIAM J. Math. Data Sci., 2023)

Generalizing Better Response Paths and Weakly Acyclic Games. - Bora Yongacoglu; Gürdal Arslan; Lacra Pavel; Serdar Yüksel (CDC, 2024)

Paths to Equilibrium in Games. - Bora Yongacoglu; Gürdal Arslan; Lacra Pavel; Serdar Yüksel (NeurIPS, 2024)

Paths to Equilibrium in Normal-Form Games. - Bora Yongacoglu; Gürdal Arslan; Lacra Pavel; Serdar Yüksel (CoRR, 2024)

Unsynchronized Decentralized Q-Learning: Two Timescale Analysis by Persistence. - Bora Yongacoglu; Gürdal Arslan; Serdar Yüksel (SIAM J. Control. Optim., 2025)