Results 21 to 30 of about 57,303 (303)
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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Risk probability optimization problem for finite horizon continuous time Markov decision processes with loss rate [PDF]
, 2021 summary:This paper presents a study the risk probability optimality for finite horizon continuous-time Markov decision process with loss rate and unbounded transition rates.
Wen, Xian, Huo, Haifeng
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Logistic Markov Decision Processes [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 User modeling in advertising and recommendation has typically focused on myopic predictors of user responses. In this work, we consider the long-term decision problem associated with user interaction. We propose a concise specification of long-term interaction dynamics by combining factored dynamic Bayesian networks with logistic predictors of user ...
Martin Mladenov +5 more
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Efficient qualitative analysis of classes of recursive markov decision processes and simple stochastic games [PDF]
, 2006 . Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs) are natural models for recursive systems involving both probabilistic and non-probabilistic actions.
Mihalis Yannakakis +3 more
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Configurable Markov Decision Processes
CoRR, 2018 In many real-world problems, there is the possibility to configure, to a limited extent, some environmental parameters to improve the performance of a learning agent. In this paper, we propose a novel framework, Configurable Markov Decision Processes (Conf-MDPs), to model this new type of interaction with the environment.
Metelli, Alberto Maria +2 more
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Risk-Sensitive Markov Decision Processes of USV Trajectory Planning with Time-Limited Budget
Sensors, 2023 Trajectory planning plays a crucial role in ensuring the safe navigation of ships, as it involves complex decision making influenced by various factors. This paper presents a heuristic algorithm, named the Markov decision process Heuristic Algorithm (MHA)
Yi Ding, Hongyang Zhu
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Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process
Remote Sensing, 2023 Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Chengliang Wu +5 more
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Transportation infrastructure asset management modeling using Markov decision process under epistemic uncertainties [PDF]
Smart and Resilient Transportation, 2021 Purpose – Transportation infrastructure asset management has long been an active but challenging problem for agencies, which urges to maintain a good state of their assets but faces budgetary limitations.
Yun Bai, Saeed Babanajad, Zheyong Bian
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Reachability in Recursive Markov Decision Processes [PDF]
Information and Computation, 2006 A class of infinite-state Markov decision processes generated by stateless pushdown automata is considered. This class corresponds to 1 1/2-player games over graphs generated by BPA systems or (equivalently) 1-exit recursive state machines. An extended reachability objective is specified by two sets \(S\) and \(T\) of safe and terminal stack ...
Tomás Brázdil +3 more
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Multi-model Markov decision processes
IISE Transactions, 2021 Markov decision processes (MDPs) have found success in many application areas that involve sequential decision making under uncertainty, including the evaluation and design of treatment and screening protocols for medical decision making. However, the data used to parameterize the model can influence what policies are recommended, and multiple ...
Lauren N. Steimle +2 more
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