Robustness to Incorrect System Models in Stochastic Control and Application to Data-Driven Learning. - Ali Devran Kara; Serdar Yüksel (CDC, 2018)

Robustness to Incorrect Priors in Infinite Horizon Stochastic Control. - Ali Devran Kara; Serdar Yüksel (CDC, 2018)

Robustness to Incorrect System Models and Application to Data-Driven Learning in Stochastic Control. - Ali Devran Kara; Serdar Yüksel (CoRR, 2018)

Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control. - Ali Devran Kara; Maxim Raginsky; Serdar Yüksel (CDC, 2019)

On Weak Feller Continuity Properties of Non-linear Filters. - Ali Devran Kara; Naci Saldi; Serdar Yüksel (CDC, 2019)

Weak Feller property of non-linear filters. - Ali Devran Kara; Naci Saldi; Serdar Yüksel (Syst. Control. Lett., 2019)

Robustness to Incorrect Priors in Partially Observed Stochastic Control. - Ali Devran Kara; Serdar Yüksel (SIAM J. Control. Optim., 2019)

Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control. - Ali Devran Kara; Serdar Yüksel (CoRR, 2020)

Robustness to Incorrect System Models in Stochastic Control. - Ali Devran Kara; Serdar Yüksel (SIAM J. Control. Optim., 2020)

Convergence and Near Optimality of Q-Learning with Finite Memory for Partially Observed Models. - Ali Devran Kara; Serdar Yüksel (CDC, 2021)

Near Optimality of Finite Memory Policies for POMPDs with Continuous Spaces. - Ali Devran Kara; Erhan Bayraktar; Serdar Yüksel (CDC, 2022)

Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control. - Ali Devran Kara; Maxim Raginsky; Serdar Yüksel (Autom., 2022)

Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes. - Ali Devran Kara; Serdar Yüksel (J. Mach. Learn. Res., 2022)

Q-Learning for Continuous State and Action MDPs under Average Cost Criteria. - Ali Devran Kara; Serdar Yüksel (CoRR, 2023)

Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity. - Ali Devran Kara; Naci Saldi; Serdar Yüksel (J. Mach. Learn. Res., 2023)

Convergence of Finite Memory Q Learning for POMDPs and Near Optimality of Learned Policies Under Filter Stability. - Ali Devran Kara; Serdar Yüksel (Math. Oper. Res., 2023)

Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality. - Erhan Bayraktar; Ali Devran Kara (SIAM J. Math. Data Sci., 2023)

Average Cost Optimality of Partially Observed MDPs: Contraction of Non-Linear Filters and Existence of Optimal Solutions and Approximations. - Yunus Emre Demirci; Ali Devran Kara; Serdar Yüksel (ACC, 2024)

Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning. - Ali Devran Kara; Serdar Yüksel (CDC, 2024)

Learning with Linear Function Approximations in Mean-Field Control. - Erhan Bayraktar; Ali Devran Kara (CoRR, 2024)

Approximation Schemes for POMPDs with Continuous Spaces and Their Near Optimality. - Ali Devran Kara; Erhan Bayraktar; Serdar Yüksel (CoRR, 2024)

Infinite Horizon Average Cost Optimality Criteria for Mean-Field Control. - Erhan Bayraktar; Ali Devran Kara (SIAM J. Control. Optim., 2024)

Average Cost Optimality of Partially Observed MDPs: Contraction of Nonlinear Filters and Existence of Optimal Solutions and Approximations. - Yunus Emre Demirci; Ali Devran Kara; Serdar Yüksel (SIAM J. Control. Optim., 2024)

Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments. - Ali Devran Kara; Serdar Yüksel (Trans. Mach. Learn. Res., 2024)

Wasserstein Regularity of Nonlinear Filters as Belief-MDPs, and Implications on Ergodicity, Optimality and Learning for POMDPs. - Yunus Emre Demirci; Ali Devran Kara; Serdar Yüksel (ACC, 2025)

Near Optimal Approximations and Finite Memory Policies for POMPDs with Continuous Spaces. - Ali Devran Kara; Erhan Bayraktar; Serdar Yüksel (J. Syst. Sci. Complex., 2025)

Learning POMDPs with Linear Function Approximation and Finite Memory. - Ali Devran Kara (CoRR, 2025)