Stochastic Processes with Expected Stopping Time

Markov chains are the de facto finite-state model for stochastic dynamical systems, and Markov decision processes (MDPs) extend Markov chains by incorporating non-deterministic behaviors. Given an MDP and rewards on states, a classical optimization criterion is the maximal expected total reward wher...

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Bibliographic Details

Published in:	Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science pp. 1 - 13
Main Authors:	Chatterjee, Krishnendu, Doyen, Laurent
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29.06.2021
Subjects:	Automata Complexity theory Computer science Heuristic algorithms Markov processes Memory management Probability distribution
Online Access:	Get full text
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