Ali Devran Kara

39 papers C 2Journal 28Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reinforcement Learning with Function Approximation for Non-Markov Processes.
CoRR
Ali Devran Kara
2025 — conf
Learning POMDPs with Linear Function Approximation and Finite Memory.
CDC
Ali Devran Kara
2025 J jnl
Learning POMDPs with Linear Function Approximation and Finite Memory.
CoRR
Ali Devran Kara
2025 J jnl
Learning with Linear Function Approximations in Mean-Field Control.
J. Mach. Learn. Res.
Erhan Bayraktar, Ali Devran Kara
2025 J jnl
Near Optimal Approximations and Finite Memory Policies for POMPDs with Continuous Spaces.
J. Syst. Sci. Complex.
Ali Devran Kara, Erhan Bayraktar, Serdar Yüksel
2025 J jnl
Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces.
CoRR
Osman Biçer, Ali Devran Kara, Serdar Yüksel
2025 — conf
Sensitivity of Filter Kernels and Robustness to Incorrect Transition and Measurement Kernel Perturbations in Partially Observable Stochastic Control.
CDC
Yunus Emre Demirci, Ali Devran Kara, Serdar Yüksel
2025 C conf
Wasserstein Regularity of Nonlinear Filters as Belief-MDPs, and Implications on Ergodicity, Optimality and Learning for POMDPs.
ACC
Yunus Emre Demirci, Ali Devran Kara, Serdar Yüksel
2024 J jnl
Approximation Schemes for POMPDs with Continuous Spaces and Their Near Optimality.
CoRR
Ali Devran Kara, Erhan Bayraktar, Serdar Yüksel
2024 C conf
Average Cost Optimality of Partially Observed MDPs: Contraction of Non-Linear Filters and Existence of Optimal Solutions and Approximations.
ACC
Yunus Emre Demirci, Ali Devran Kara, Serdar Yüksel
2024 J jnl
Average Cost Optimality of Partially Observed MDPs: Contraction of Nonlinear Filters and Existence of Optimal Solutions and Approximations.
SIAM J. Control. Optim.
Yunus Emre Demirci, Ali Devran Kara, Serdar Yüksel
2024 J jnl
Infinite Horizon Average Cost Optimality Criteria for Mean-Field Control.
SIAM J. Control. Optim.
Erhan Bayraktar, Ali Devran Kara
2024 J jnl
Learning with Linear Function Approximations in Mean-Field Control.
CoRR
Erhan Bayraktar, Ali Devran Kara
2024 — conf
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning.
CDC
Ali Devran Kara, Serdar Yüksel
2024 J jnl
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning.
CoRR
Ali Devran Kara, Serdar Yüksel
2024 J jnl
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments.
Trans. Mach. Learn. Res.
Ali Devran Kara, Serdar Yüksel
2023 J jnl
Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality.
SIAM J. Math. Data Sci.
Erhan Bayraktar, Ali Devran Kara
2023 J jnl
Convergence of Finite Memory Q Learning for POMDPs and Near Optimality of Learned Policies Under Filter Stability.
Math. Oper. Res.
Ali Devran Kara, Serdar Yüksel
2023 J jnl
Infinite Horizon Average Cost Optimality Criteria for Mean-Field Control.
CoRR
Erhan Bayraktar, Ali Devran Kara
2023 J jnl
Q-Learning for Continuous State and Action MDPs under Average Cost Criteria.
CoRR
Ali Devran Kara, Serdar Yüksel
2023 J jnl
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity.
J. Mach. Learn. Res.
Ali Devran Kara, Naci Saldi, Serdar Yüksel
2023 J jnl
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments.
CoRR
Ali Devran Kara, Serdar Yüksel
2022 J jnl
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes.
J. Mach. Learn. Res.
Ali Devran Kara, Serdar Yüksel
2022 — conf
Near Optimality of Finite Memory Policies for POMPDs with Continuous Spaces.
CDC
Ali Devran Kara, Erhan Bayraktar, Serdar Yüksel
2022 J jnl
Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control.
Autom.
Ali Devran Kara, Maxim Raginsky, Serdar Yüksel
2021 — conf
Convergence and Near Optimality of Q-Learning with Finite Memory for Partially Observed Models.
CDC
Ali Devran Kara, Serdar Yüksel
2021 J jnl
Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability.
CoRR
Ali Devran Kara, Serdar Yüksel
2021 J jnl
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity.
CoRR
Ali Devran Kara, Naci Saldi, Serdar Yüksel
2020 J jnl
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes.
CoRR
Ali Devran Kara, Serdar Yüksel
2020 J jnl
Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control.
CoRR
Ali Devran Kara, Serdar Yüksel
2020 J jnl
Robustness to Incorrect System Models in Stochastic Control.
SIAM J. Control. Optim.
Ali Devran Kara, Serdar Yüksel
2019 — conf
On Weak Feller Continuity Properties of Non-linear Filters.
CDC
Ali Devran Kara, Naci Saldi, Serdar Yüksel
2019 — conf
Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control.
CDC
Ali Devran Kara, Maxim Raginsky, Serdar Yüksel
2019 J jnl
Robustness to Incorrect Priors in Partially Observed Stochastic Control.
SIAM J. Control. Optim.
Ali Devran Kara, Serdar Yüksel
2019 J jnl
Weak Feller property of non-linear filters.
Syst. Control. Lett.
Ali Devran Kara, Naci Saldi, Serdar Yüksel
2018 — conf
Robustness to Incorrect Priors in Infinite Horizon Stochastic Control.
CDC
Ali Devran Kara, Serdar Yüksel
2018 J jnl
Robustness to Incorrect System Models and Application to Data-Driven Learning in Stochastic Control.
CoRR
Ali Devran Kara, Serdar Yüksel
2018 — conf
Robustness to Incorrect System Models in Stochastic Control and Application to Data-Driven Learning.
CDC
Ali Devran Kara, Serdar Yüksel
2018 J jnl
Robustness to incorrect priors in partially observed stochastic control.
CoRR
Ali Devran Kara, Serdar Yüksel