Results 31 to 40 of about 120,210 (259)
A Reinforcement Learning Method for a Hybrid Flow-Shop Scheduling Problem
Algorithms, 2019 The scheduling problems in mass production, manufacturing, assembly, synthesis, and transportation, as well as internet services, can partly be attributed to a hybrid flow-shop scheduling problem (HFSP). To solve the problem, a reinforcement learning (RL)
Wei Han, Fang Guo, Xichao Su
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Absorbing Continuous-Time Markov Decision Processes with Total Cost Criteria [PDF]
Advances in Applied Probability, 2013 In this paper we study absorbing continuous-time Markov decision processes in Polish state spaces with unbounded transition and cost rates, and history-dependent policies. The performance measure is the expected total undiscounted costs. For the unconstrained problem, we show the existence of a deterministic stationary optimal policy, whereas, for the ...
Guo, Xianping +2 more
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Controllability Metrics on Networks with Linear Decision Process-type Interactions and Multiplicative Noise [PDF]
, 2015 This paper aims at the study of controllability properties and induced controllability metrics on complex networks governed by a class of (discrete time) linear decision processes with mul-tiplicative noise.
Diallo, Tidiane, Goreac, Dan
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Continuous-time Markov decision processes under the risk-sensitive average cost criterion
, 2015 This paper studies continuous-time Markov decision processes under the risk-sensitive average cost criterion. The state space is a finite set, the action space is a Borel space, the cost and transition rates are bounded, and the risk-sensitivity ...
Chen, Xian, Wei, Qingda
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IEEE AccessAs the railway domain progresses towards autonomy, maintaining safety at levels comparable to human-operated systems is a crucial challenge. Autonomous trains require advanced systems capable of real-time risk assessment and decision-making, a task ...
Mohammed Chelouati +3 more
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Average optimality for continuous-time Markov decision processes under weak continuity conditions
, 2014 This article considers the average optimality for a continuous-time Markov decision process with Borel state and action spaces and an arbitrarily unbounded nonnegative cost rate.
Zhang, Yi
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Finite horizon optimal stopping of time-discontinuous functionals with applications to impulse control with delay [PDF]
, 2010 We study finite horizon optimal stopping problems for continuous-time Feller–Markov processes. The functional depends on time, state, and external parameters and may exhibit discontinuities with respect to the time variable.
El Karoui N. +4 more
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Delayed Nondeterminism in Continuous-Time Markov Decision Processes [PDF]
, 2009 Schedulers in randomly timed games can be classified as to whether they use timing information or not. We consider continuous-time Markov decision processes (CTMDPs) and define a hierarchy of positional (P) and history-dependent (H) schedulers which induce strictly tighter bounds on quantitative properties on CTMDPs.
Neuhausser, M. +2 more
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Applied SciencesThis paper addresses the problem of decision-making support for the modernization of distributed automated control systems (ACS) in power engineering by proposing an integral quality criterion that combines similarity-driven Markov process modeling with ...
Waldemar Wojcik +4 more
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