Results 21 to 30 of about 71,442 (256)
Energies, 2022 Oil tanker disasters have been a cause of major environmental disasters, with multi-generational impacts. One of the greatest hazards is damage to the propulsion system that causes the ship to turn sideways to a wave and lose stability, which in storm ...
Zbigniew Łosiewicz +4 more
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Application of the Pareto front for risk control in the transport system [PDF]
MATEC Web of Conferences, 2019 The article describes the developed model of controlling the process of means of transport operation, in which the choice of control strategy is carried out using non-deterministic methods.
Sołtysiak Agnieszka, Migawa Klaudiusz
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Towards Analysis of Semi-Markov Decision Processes [PDF]
, 2010 We investigate Semi-Markov Decision Processes (SMDPs). Two problems are studied, namely, the time-bounded reachability problem and the long-run average fraction of time problem. The former aims to compute the maximal (or minimum) probability to reach a certain set of states within a given time bound.
Taolue Chen 0001, Jian Lu 0001
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A survey on semi-Markov decision processes [PDF]
SCIENTIA SINICA Mathematica, 2015 This paper is a survey on semi-Markov decision processes (SMDPs). We present the background, the signi cance, and the research actuality of the in nite horizon expected discounted reward criterion, the long-run expected average reward criterion, the nite horizon expected reward criterion, the expected rst passage reward criterion, the probability ...
YongHui HUANG, XianPing GUO
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Fast Two-Stage Computation of an Index Policy for Multi-Armed Bandits with Setup Delays
Mathematics, 2020 We consider the multi-armed bandit problem with penalties for switching that include setup delays and costs, extending the former results of the author for the special case with no switching delays.
José Niño-Mora
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A Fast-Pivoting Algorithm for Whittle’s Restless Bandit Index
Mathematics, 2020 The Whittle index for restless bandits (two-action semi-Markov decision processes) provides an intuitively appealing optimal policy for controlling a single generic project that can be active (engaged) or passive (rested) at each decision epoch, and ...
José Niño-Mora
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Reactive Reinforcement Learning in Asynchronous Environments
Frontiers in Robotics and AI, 2018 The relationship between a reinforcement learning (RL) agent and an asynchronous environment is often ignored. Frequently used models of the interaction between an agent and its environment, such as Markov Decision Processes (MDP) or Semi-Markov Decision
Jaden B. Travnik +6 more
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Hierarchical dialogue optimization using semi-Markov decision processes [PDF]
Interspeech 2007, 2007 This paper addresses the problem of dialogue optimization on large search spaces. For such a purpose, in this paper we propose to learn dialogue strategies using multiple Semi-Markov Decision Processes and hierarchical reinforcement learning. This approach factorizes state variables and actions in order to learn a hierarchy of policies. Our experiments
Cuayáhuitl, Heriberto +3 more
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MATEC Web of Conferences, 2018 In the article a common semi-Markov mathematical model is considered that allows one to investigate the productivity and reliability of various technological processes of mechanical assembly production.
Rapatskiy Yuri +5 more
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Optimal Intervention in Semi-Markov-Based Asynchronous Probabilistic Boolean Networks
Complexity, 2018 Synchronous probabilistic Boolean networks (PBNs) and generalized asynchronous PBNs have received significant attention over the past decade as a tool for modeling complex genetic regulatory networks.
Qiuli Liu +3 more
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