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Learning Automaton for Finite Semi-Markov Decision Processes

1983
A 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 ...
openaire   +1 more source

Reinforcement learning with options in semi Markov decision processes

2021
Treball fi de màster de: Master in Intelligent Interactive ...
openaire   +1 more source

Semi-Markov Decision-Making Processes with Vector Gains

Theory of Probability & Its Applications, 1984
Vinogradskaya, T. M.   +2 more
openaire   +3 more sources

Cost Rate Heuristics for Semi-Markov Decision Processes

1991
National Research ...
Glazebrook, K.D.   +2 more
openaire   +1 more source

Road maintenance optimization through a discrete-time semi-Markov decision process

Reliability Engineering and System Safety, 2012
Zhang Xueqing
exaly  

Optimizing the re-profiling policy regarding metropolitan train wheels based on a semi-Markov decision process

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2017
Zengqiang Jiang, Mingcheng E
exaly  

Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning

Management Science, 1999
Abhijit Gosavi, Sridhar Mahadevan
exaly  

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