Nonparametric adaptive control of discrete-time partially observable stochastic systems

DOI10.1016/0022-247X(89)90248-5zbMath0675.93055OpenAlexW1974225607MaRDI QIDQ1122548

Steven I. Marcus, Onésimo Hernández-Lerma

Publication date: 1989

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-247x(89)90248-5

zbMATH Keywords

stochastic control systemsadaptive control problempartially observable

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Stochastic systems in control theory (general) (93E03)

Related Items (2)

Unnamed Item ⋮ A survey of solution techniques for the partially observed Markov decision process

Cites Work

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• Adaptive control of service in queueing systems
• Adaptive control of discounted Markov decision chains
• Estimation de la transition de probabilité d'une chaîne de Markov Doeblin-recurrente. Étude du cas du processus autoregressif général d'ordre 1
• Adaptive control of Markov processes with incomplete state information and unknown parameters
• Adaptive policies for discrete-time stochastic control systems with unknown disturbance distribution
• Continuous dependence of stochastic control models on the noise distribution
• Nonstationary Markov decision problems with converging parameters
• Stochastic optimal control. The discrete time case
• Incomplete information in Markovian decision models
• Empirical processes: A survey of results for independent and identically distributed random variables
• Nonparametric estimation of Markov transition functions
• Sufficient statistics in the optimum control of stochastic systems
• A Survey of Some Results in Stochastic Adaptive Control
• Adaptive Strategies for Certain Classes of Controlled Markov Processes
• Estimation and control in discounted stochastic dynamic programming
• State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms
• Bounds for the regret loss in dynamic programming under adaptive control
• Reduction of a Controlled Markov Model with Incomplete Data to a Problem with Complete Information in the Case of Borel State and Control Space
• An Approach to Discrete-Time Stochastic Control Problems under Partial Observation
• Estimation and control in Markov chains
• Uniformity in weak convergence
• Discrete-Time Markovian Decision Processes with Incomplete State Observation

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