Results 11 to 20 of about 709,572 (229)
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization [PDF]
arXiv, 2010 We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal reward of such a Markov Decision Process, satisfying a Bellman equation, converges to the solution of a continuous Hamilton-Jacobi-Bellman (HJB) equation based on the mean ...
Nicolas Gast +2 more
arxiv +3 more sources
Unusual Japanese Decision-making: Markov Process of Decision-making [PDF]
Revista de Management Comparat International, 2021 There is not enough research on decision-making and management process of organizations that do not make a profit. Economists should include healthy companies, as well as sick ones, the same way doctors do.
Nobumichi WATAHIKI +4 more
doaj +1 more source
Controllable Summarization with Constrained Markov Decision Process
Transactions of the Association for Computational Linguistics, 2021 We study controllable text summarization, which allows users to gain control on a particular attribute (e.g., length limit) of the generated summaries. In this work, we propose a novel training framework based on Constrained Markov Decision Process (CMDP)
Hou Pong Chan, Lu Wang, Irwin King
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Machine Learning and Knowledge Extraction, 2021 The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision processes (POMDP) problems.
Xuanchen Xiang, Simon Foo, Huanyu Zang
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Machine Learning and Knowledge Extraction, 2021 The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems.
Xuanchen Xiang, Simon Foo
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Quantum logic gate synthesis as a Markov decision process
npj Quantum Information, 2023 Reinforcement learning has witnessed recent applications to a variety of tasks in quantum programming. The underlying assumption is that those tasks could be modeled as Markov decision processes (MDPs).
M. Sohaib Alam +2 more
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A Markov Decision Process with Awareness and Present Bias in Decision-Making
Mathematics, 2023 We propose a Markov Decision Process Model that blends ideas from Psychological research and Economics to study decision-making in individuals with self-control problems.
Federico Bizzarri +2 more
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Markov Decision Processes [PDF]
Jahresbericht der Deutschen Mathematiker-Vereinigung, 2010 The theory of Markov Decision Processes is the theory of controlled Markov chains. Its origins can be traced back to R. Bellman and L. Shapley in the 1950's. During the decades of the last century this theory has grown dramatically. It has found applications in various areas like e.g.
Bäuerle, N., Rieder, U.
openaire +2 more sources
Complexity, 2021 Cognitive searching optimization is a subconscious mental phenomenon in decision making. Aroused by exploiting accessible human action, alleviating inefficient decision and shrinking searching space remain challenges for optimizing the solution space ...
Bingxuan Ren, Tangwen Yin, Shan Fu
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Health Status-Based Predictive Maintenance Decision-Making via LSTM and Markov Decision Process
Mathematics, 2022 Maintenance decision-making is essential to achieve safe and reliable operation with high performance for equipment. To avoid unexpected shutdown and increase machine life as well as system efficiency, it is fundamental to design an effective maintenance
Pan Zheng +4 more
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