Results 21 to 30 of about 13,256,052 (164)
Faster algorithm and sharper analysis for constrained Markov decision process. [PDF]
Oper Res LetLi T +5 more
europepmc +2 more sources
Constrained optimality problem of Markov decision processes with Borel spaces and varying discount factors [PDF]
, 2021 summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes (DTMDPs) with state-dependent discount factors, Borel state and compact Borel action spaces, and possibly unbounded costs.
Wu, Xiao, Tang, Yanqiu
core +1 more source
Constrained Markov decision processes for response-adaptive procedures in clinical trials with binary outcomes [PDF]
A constrained Markov decision process (CMDP) approach is developed for response-adaptive procedures in clinical trials with binary outcomes. The resulting CMDP class of Bayesian response -- adaptive procedures can be used to target a certain objective, e.
Boucherie, Richard J. +2 more
core +4 more sources
Sample-based policy iteration for constrained DEC-POMDPs [PDF]
, 2012 We introduce constrained DEC-POMDPs — an extension of the standard DEC-POMDPs that includes constraints on the optimality of the overall team rewards. Constrained DEC-POMDPs present a natural framework for modeling cooperative multi-agent problems with ...
Wu, Feng +8 more
core +2 more sources
Markov Decision Processes with Long-Term Average Constraints [PDF]
, 2022 We consider the problem of constrained Markov Decision Process (CMDP) where an agent interacts with a unichain Markov Decision Process. At every interaction, the agent obtains a reward. Further, there are $K$ cost functions.
Aggarwal, Vaneet +2 more
core +1 more source
The Convergence of a Cooperation Markov Decision Process System
, 2020 In a general Markov decision progress system, only one agent’s learning evolution is considered. However, considering the learning evolution of a single agent in many problems has some limitations, more and more applications involve multi-agent ...
Xiaoling Mo, Zufeng Fu, Daoyun Xu
core +1 more source
Structural Results for Constrained Markov Decision Processes [PDF]
, 2018 In the existing literature on the dynamic control of service systems, a decision-maker seeks to optimize a single performance metric over a given time-horizon.
Girard, Cory Jay
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Joint Chance-Constrained Markov Decision Processes
, 2023 International audienceWe consider a finite state-action uncertain constrained Markov decision process under discounted and average cost criteria. The running costs are defined by random variables and the transition probabilities are known.
Singh, Vikas Vikram +2 more
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Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of intelligent autonomous devices.
Vyacheslav Kungurtsev +7 more
wiley +1 more source
Applied SciencesSmart metering of high-time-resolution energy data enables efficient power grid management. However, it also raises significant privacy concerns by revealing users’ consumption patterns.
Jian Ruan, Qiang Li, Qi Jiang, Zuxing Li
doaj +1 more source