Recursive Algorithms for Adaptive Control of Finite Markov Chains
DOI10.1109/TSMC.1981.4308638zbMath0474.93078OpenAlexW2013009405MaRDI QIDQ3931288
Publication date: 1981
Published in: IEEE Transactions on Systems, Man, and Cybernetics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tsmc.1981.4308638
parameter estimationlearning automataadaptationrecursive algorithmscontrolled Markov chainspolicy variationsTaylor-like expansion formula of the expected average reward
Discrete-time Markov processes on general state spaces (60J05) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Series expansions (e.g., Taylor, Lidstone series, but not Fourier series) (41A58)
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