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Ali Devran Kara
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Journal Articles
- 2024
- [j8]Ali Devran Kara, Serdar Yüksel:
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j7]Ali Devran Kara, Naci Saldi, Serdar Yüksel:
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity. J. Mach. Learn. Res. 24: 199:1-199:34 (2023) - [j6]Erhan Bayraktar
, Ali Devran Kara:
Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality. SIAM J. Math. Data Sci. 5(3): 615-638 (2023) - 2022
- [j5]Ali Devran Kara, Maxim Raginsky, Serdar Yüksel:
Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control. Autom. 139: 110179 (2022) - [j4]Ali Devran Kara, Serdar Yüksel:
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes. J. Mach. Learn. Res. 23: 11:1-11:46 (2022) - 2020
- [j3]Ali Devran Kara, Serdar Yüksel
:
Robustness to Incorrect System Models in Stochastic Control. SIAM J. Control. Optim. 58(2): 1144-1182 (2020) - 2019
- [j2]Ali Devran Kara
, Naci Saldi
, Serdar Yüksel:
Weak Feller property of non-linear filters. Syst. Control. Lett. 134 (2019) - [j1]Ali Devran Kara, Serdar Yüksel
:
Robustness to Incorrect Priors in Partially Observed Stochastic Control. SIAM J. Control. Optim. 57(3): 1929-1964 (2019)
Conference and Workshop Papers
- 2022
- [c6]Ali Devran Kara, Erhan Bayraktar, Serdar Yüksel:
Near Optimality of Finite Memory Policies for POMPDs with Continuous Spaces. CDC 2022: 2301-2306 - 2021
- [c5]Ali Devran Kara, Serdar Yüksel:
Convergence and Near Optimality of Q-Learning with Finite Memory for Partially Observed Models. CDC 2021: 1603-1608 - 2019
- [c4]Ali Devran Kara, Naci Saldi, Serdar Yüksel:
On Weak Feller Continuity Properties of Non-linear Filters. CDC 2019: 654-659 - [c3]Ali Devran Kara, Maxim Raginsky, Serdar Yüksel:
Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control. CDC 2019: 7970-7975 - 2018
- [c2]Ali Devran Kara, Serdar Yüksel:
Robustness to Incorrect System Models in Stochastic Control and Application to Data-Driven Learning. CDC 2018: 2753-2758 - [c1]Ali Devran Kara, Serdar Yüksel:
Robustness to Incorrect Priors in Infinite Horizon Stochastic Control. CDC 2018: 5765-5770
Informal and Other Publications
- 2023
- [i9]Ali Devran Kara, Serdar Yüksel:
Q-Learning for Continuous State and Action MDPs under Average Cost Criteria. CoRR abs/2308.07591 (2023) - [i8]Erhan Bayraktar, Ali Devran Kara:
Infinite Horizon Average Cost Optimality Criteria for Mean-Field Control. CoRR abs/2309.11744 (2023) - [i7]Ali Devran Kara, Serdar Yüksel:
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments. CoRR abs/2311.00123 (2023) - 2021
- [i6]Ali Devran Kara, Serdar Yüksel:
Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability. CoRR abs/2103.12158 (2021) - [i5]Ali Devran Kara, Naci Saldi, Serdar Yüksel:
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity. CoRR abs/2111.06781 (2021) - 2020
- [i4]Ali Devran Kara, Serdar Yüksel:
Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control. CoRR abs/2003.05769 (2020) - [i3]Ali Devran Kara, Serdar Yüksel:
Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes. CoRR abs/2010.07452 (2020) - 2018
- [i2]Ali Devran Kara, Serdar Yüksel:
Robustness to incorrect priors in partially observed stochastic control. CoRR abs/1803.05103 (2018) - [i1]Ali Devran Kara, Serdar Yüksel:
Robustness to Incorrect System Models and Application to Data-Driven Learning in Stochastic Control. CoRR abs/1803.06046 (2018)
Coauthor Index
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