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Learning Automaton for Finite Semi-Markov Decision Processes
1983A finite semi-Markov decision process is studied to maximize the expected average reward. The semi-Markov kernel of the process depends on an unknown parameter taking values in a subset [a, b] of ℝS. A controller modelled as a learning automaton updates sequentially the probabilities of generating decisions based on the observed decisions, states, and ...
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Reinforcement learning with options in semi Markov decision processes
2021Treball fi de màster de: Master in Intelligent Interactive ...
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Semi-Markov Decision-Making Processes with Vector Gains
Theory of Probability & Its Applications, 1984Vinogradskaya, T. M. +2 more
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Cost Rate Heuristics for Semi-Markov Decision Processes
1991National Research ...
Glazebrook, K.D. +2 more
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Road maintenance optimization through a discrete-time semi-Markov decision process
Reliability Engineering and System Safety, 2012Zhang Xueqing
exaly
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2017
Zengqiang Jiang, Mingcheng E
exaly
Zengqiang Jiang, Mingcheng E
exaly
Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning
Management Science, 1999Abhijit Gosavi, Sridhar Mahadevan
exaly

