Results 221 to 230 of about 67,931 (252)

Finite horizon semi-Markov decision processes with multiple constraints

Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014
This paper focuses on solving a finite horizon semi-Markov decision process with multiple constraints. We convert the problem to a constrained absorbing discrete-time Markov decision process and then to an equivalent linear programm over a class of occupancy measures.
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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 ...
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Semi-Markov decision processes with a reachable state-subset

Optimization, 1989
We consider the problem of minimizing the long-run average expected cost per unit time in a semi-Markov decision process with arbitrary state and action space, Assuming the existence .of a Borel subset of state space called a reachable state-subset, we derive the optimality equation for the unbounded costs.
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Average Reward Reinforcement Learning for Semi-Markov Decision Processes

2017
In this paper, we study new reinforcement learning (RL) algorithms for Semi-Markov decision processes (SMDPs) with an average reward criterion. Based on the discrete-time type Bellman optimality equation, we use incremental value iteration (IVI), stochastic shortest path (SSP) value iteration and bisection algorithms to derive novel RL algorithms in a ...
Jiayuan Yang, Yanjie Li, Haoyao Chen, Jiangang Li   +3 more
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On undiscounted semi-Markov decision processes with absorbing states

Mathematical Methods of Operations Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Reinforcement learning with options in semi Markov decision processes

2021
Treball fi de màster de: Master in Intelligent Interactive ...
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The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

Ca-A Cancer Journal for Clinicians, 2021
Alexander B Olawaiye
exaly  

Semi-Markov Decision-Making Processes with Vector Gains

Theory of Probability & Its Applications, 1984
Vinogradskaya, T. M., Geninson, B. A., Rubchinskij, A. A.   +2 more
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Deterministic policy gradient algorithms for semi‐Markov decision processes

International Journal of Intelligent Systems, 2021
Ashkan Haji Hosseinloo, Munther A. Dahleh   +1 more
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