Publications

Here are some recent research items that my colleagues and I have published or released as pre-prints, listed (more or less) from newest to oldest. If you are having trouble accessing any of these files, please email me and I will send you a copy. A full list of my publications is also available on my Google Scholar profile.

Legend: (J) = journal, (C) = conference, (P) = pre-print

• (P) Yongacoglu, B., G. Arslan, L. Pavel, and S. Yuksel. “Paths to Equilibrium in Normal-Form Games.” (Submitted). arXiv

• (P) Yongacoglu, B., G. Arslan, L. Pavel, and S. Yuksel. “Generalizing Better Response Paths and Weakly Acyclic Games.” (Submitted). Link

• (C) Yongacoglu, B., G. Arslan, and S. Yuksel. “Asynchronous Decentralized Q-Learning in Stochastic Games.” 2023 IEEE Conference on Decision and Control (CDC). Link

• (J) Yongacoglu, B., G. Arslan, and S. Yuksel. “Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games.” SIAM Journal on Mathematics of Data Science. 2023. 5(3): pp. 745-773. SIAM Link, arXiv, pdf

• (P) Yongacoglu, B., G. Arslan, and S. Yuksel. “Asynchronous Decentralized Q-Learning: Two Timescale Analysis By Persistence.” arXiv
  • An early version of this paper was presented at the 2023 Conference on Decision and Control.

• (C) A. Altabaa, B. Yongacoglu, and S. Yuksel. “Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games.” 2023 American Control Conference (ACC). Link

• (C) Yongacoglu, B., G. Arslan, and S. Yuksel. “Independent Learning and Subjectivity in Mean-Field Games.” 2022 IEEE 61st Conference on Decision and Control (CDC) (pp. 2845-2850). IEEE. Link
  • Awarded the 2023 Networks and Communication Systems Technical Committee’s Outstanding Student Paper Prize

• (P) Yongacoglu, B., G. Arslan, and S. Yuksel. “Independent Learning in Mean-Field Games: Satisficing Paths and Convergence to Subjective Equilibria.” arXiv: arXiv:2209.05703 (2022). arXiv

• (J) Yongacoglu, B., G. Arslan, and S. Yuksel. “Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information.” IEEE Transactions on Automatic Control. 67, no. 10 (2022). Link

• (C) Yongacoglu, B., G. Arslan, and S. Yuksel. “Reinforcement Learning for Decentralized Stochastic Control.” 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 5556-5561). IEEE. Link

• (C) Yongacoglu, B., G. Arslan, and S. Yuksel. “Decentralized Q-Learning with Constant Aspirations in Stochastic Games.” 2019 53rd Asilomar Conference on Signals, Systems, and Computers (pp. 1744-1749). IEEE. Link