Another Look at Partially Observed Optimal Stochastic Control: Existence, Ergodicity, and Approximations without Belief-Reduction
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Yüksel, Serdar |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
par: Kara, Ali Devran, et autres
Publié: (2024)
par: Kara, Ali Devran, et autres
Publié: (2024)
SLAM as a Stochastic Control Problem with Partial Information: Optimal Solutions and Rigorous Approximations
par: Gusija, Ilir, et autres
Publié: (2026)
par: Gusija, Ilir, et autres
Publié: (2026)
Controlled Diffusions under Full, Partial and Decentralized Information: Existence of Optimal Policies and Discrete-Time Approximations
par: Pradhan, Somnath, et autres
Publié: (2023)
par: Pradhan, Somnath, et autres
Publié: (2023)
Average Cost Optimality of Partially Observed MDPS: Contraction of Non-linear Filters, Optimal Solutions and Approximations
par: Demirci, Yunus Emre, et autres
Publié: (2023)
par: Demirci, Yunus Emre, et autres
Publié: (2023)
Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information
par: Yongacoglu, Bora, et autres
Publié: (2019)
par: Yongacoglu, Bora, et autres
Publié: (2019)
Reinforcement Learning for Discounted and Ergodic Control of Diffusion Processes
par: Bayraktar, Erhan, et autres
Publié: (2026)
par: Bayraktar, Erhan, et autres
Publié: (2026)
Subjective Equilibria under Beliefs of Exogenous Uncertainty: Linear Quadratic Case
par: Arslan, Gürdal, et autres
Publié: (2024)
par: Arslan, Gürdal, et autres
Publié: (2024)
Sensitivity of Filter Kernels and Robustness Bounds to Transition and Measurement Kernel Perturbations in Partially Observable Stochastic Control
par: Demirci, Yunus Emre, et autres
Publié: (2025)
par: Demirci, Yunus Emre, et autres
Publié: (2025)
On Borkar and Young Relaxed Control Topologies and Continuous Dependence of Invariant Measures on Control Policy
par: Yüksel, Serdar
Publié: (2023)
par: Yüksel, Serdar
Publié: (2023)
Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies
par: Mrani-Zentar, Omar, et autres
Publié: (2026)
par: Mrani-Zentar, Omar, et autres
Publié: (2026)
Near Optimal Approximations and Finite Memory Policies for POMPDs with Continuous Spaces
par: Kara, Ali Devran, et autres
Publié: (2024)
par: Kara, Ali Devran, et autres
Publié: (2024)
Optimality of Symmetric Independent Policies under Decentralized Mean-Field Information Sharing for Stochastic Teams and Equivalence with McKean-Vlasov Control of a Representative Agent
par: Sanjari, Sina, et autres
Publié: (2024)
par: Sanjari, Sina, et autres
Publié: (2024)
Decentralized Exchangeable Stochastic Dynamic Teams in Continuous-time, their Mean-Field Limits and Optimality of Symmetric Policies
par: Sanjari, Sina, et autres
Publié: (2024)
par: Sanjari, Sina, et autres
Publié: (2024)
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
par: Kara, Ali Devran, et autres
Publié: (2023)
par: Kara, Ali Devran, et autres
Publié: (2023)
Reinforcement Learning for Jointly Optimal Coding and Control Policies for a Controlled Markovian System over a Communication Channel
par: Hubbard, Evelyn, et autres
Publié: (2024)
par: Hubbard, Evelyn, et autres
Publié: (2024)
Non-Sequential Decentralized Stochastic Control Revisited: Causality and Static Reducibility
par: Mrani-Zentar, Omar, et autres
Publié: (2022)
par: Mrani-Zentar, Omar, et autres
Publié: (2022)
An Optimal Control Approach To Transformer Training
par: Akman, Kağan, et autres
Publié: (2026)
par: Akman, Kağan, et autres
Publié: (2026)
Data-Driven Non-Parametric Model Learning and Adaptive Control of MDPs with Borel spaces: Identifiability and Near Optimal Design
par: Mrani-Zentar, Omar, et autres
Publié: (2025)
par: Mrani-Zentar, Omar, et autres
Publié: (2025)
Robustness to Model Approximation, Model Learning From Data, and Sample Complexity in Wasserstein Regular MDPs
par: Zhou, Yichen, et autres
Publié: (2024)
par: Zhou, Yichen, et autres
Publié: (2024)
Robust Decentralized Control of Coupled Systems via Risk Sensitive Control of Decoupled or Simple Models with Measure Change
par: Selk, Zachary, et autres
Publié: (2024)
par: Selk, Zachary, et autres
Publié: (2024)
Centralized Reduction of Decentralized Stochastic Control Models and their weak-Feller Regularity
par: Mrani-Zentar, Omar, et autres
Publié: (2024)
par: Mrani-Zentar, Omar, et autres
Publié: (2024)
Discrete-Time Approximations of Controlled Diffusions with Infinite Horizon Discounted and Average Cost
par: Pradhan, Somnath, et autres
Publié: (2025)
par: Pradhan, Somnath, et autres
Publié: (2025)
Kernel Mean Embedding Topology: Weak and Strong Forms for Stochastic Kernels and Implications for Model Learning
par: Saldi, Naci, et autres
Publié: (2025)
par: Saldi, Naci, et autres
Publié: (2025)
Quantum Markov Decision Processes: General Theory, Approximations, and Classes of Policies
par: Saldi, Naci, et autres
Publié: (2024)
par: Saldi, Naci, et autres
Publié: (2024)
Near Optimality of Discrete-Time Approximations for Controlled McKean-Vlasov Diffusions and Interacting Particle Systems
par: Pradhan, Somnath, et autres
Publié: (2025)
par: Pradhan, Somnath, et autres
Publié: (2025)
Quantum Markov Decision Processes: Dynamic and Semi-Definite Programs for Optimal Solutions
par: Saldi, Naci, et autres
Publié: (2024)
par: Saldi, Naci, et autres
Publié: (2024)
Optimal Push and Pull-Based Edge Caching For Dynamic Content
par: Abolhassani, Bahman, et autres
Publié: (2024)
par: Abolhassani, Bahman, et autres
Publié: (2024)
Decentralized Detection with Many Sensors: Optimality of Exchangeable and Identical Encoding Policies
par: Sanjari, Sina, et autres
Publié: (2025)
par: Sanjari, Sina, et autres
Publié: (2025)
Refined Bounds on Near Optimality Finite Window Policies in POMDPs and Their Reinforcement Learning
par: Demirci, Yunus Emre, et autres
Publié: (2024)
par: Demirci, Yunus Emre, et autres
Publié: (2024)
Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources
par: Cregg, Liam, et autres
Publié: (2023)
par: Cregg, Liam, et autres
Publié: (2023)
Sliding Window Codes: Near-Optimality and Q-Learning for Zero-Delay Coding
par: Cregg, Liam, et autres
Publié: (2023)
par: Cregg, Liam, et autres
Publié: (2023)
Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
par: Bicer, Osman, et autres
Publié: (2025)
par: Bicer, Osman, et autres
Publié: (2025)
Near Optimality of Lipschitz and Smooth Policies in Controlled Diffusions
par: Pradhan, Somnath, et autres
Publié: (2024)
par: Pradhan, Somnath, et autres
Publié: (2024)
Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents
par: Braun, Connor S., et autres
Publié: (2026)
par: Braun, Connor S., et autres
Publié: (2026)
Scenario Reduction with Guarantees for Stochastic Optimal Control of Linear Systems
par: Cordiano, Francesco, et autres
Publié: (2024)
par: Cordiano, Francesco, et autres
Publié: (2024)
Optimal Policy Characterization for a Class of Multi-Dimensional Ergodic Singular Stochastic Control Problems
par: Calvia, Alessandro, et autres
Publié: (2025)
par: Calvia, Alessandro, et autres
Publié: (2025)
Stochastic Optimal Feedforward-Feedback Control for Partially Observable Sensorimotor Systems
par: Berret, Bastien, et autres
Publié: (2026)
par: Berret, Bastien, et autres
Publié: (2026)
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
par: Yongacoglu, Bora, et autres
Publié: (2021)
par: Yongacoglu, Bora, et autres
Publié: (2021)
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
par: Joshi, Anant A., et autres
Publié: (2025)
par: Joshi, Anant A., et autres
Publié: (2025)
The Ergodic Linear-Quadratic Optimal Control Problems with Random Periodic Coefficients
par: Wu, Jiacheng, et autres
Publié: (2026)
par: Wu, Jiacheng, et autres
Publié: (2026)
Documents similaires
-
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
par: Kara, Ali Devran, et autres
Publié: (2024) -
SLAM as a Stochastic Control Problem with Partial Information: Optimal Solutions and Rigorous Approximations
par: Gusija, Ilir, et autres
Publié: (2026) -
Controlled Diffusions under Full, Partial and Decentralized Information: Existence of Optimal Policies and Discrete-Time Approximations
par: Pradhan, Somnath, et autres
Publié: (2023) -
Average Cost Optimality of Partially Observed MDPS: Contraction of Non-linear Filters, Optimal Solutions and Approximations
par: Demirci, Yunus Emre, et autres
Publié: (2023) -
Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information
par: Yongacoglu, Bora, et autres
Publié: (2019)