Results 21 to 30 of about 13,567 (273)
Mean-variance optimality for semi-Markov decision processes under first passage criteria [PDF]
, 2017 summary:This paper deals with a first passage mean-variance problem for semi-Markov decision processes in Borel spaces. The goal is to minimize the variance of a total discounted reward up to the system's first entry to some target set, where the ...
Xiangxiang Huang +3 more
core +1 more source
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
openaire +2 more sources
Another set of verifiable conditions for average Markov decision processes with Borel spaces [PDF]
, 2015 summary:In this paper we give a new set of verifiable conditions for the existence of average optimal stationary policies in discrete-time Markov decision processes with Borel spaces and unbounded reward/cost functions. More precisely, we provide another
Guo, Xianping, Zou, Xiaolong
core +3 more sources
Polish Maritime Research, 2017 This article deals with the modeling of the processes of operating both marine main and auxiliary engines. The paper presents a model of changes in operating conditions of ship’s internal combustion engine.
Landowski Bogdan +3 more
doaj +1 more source
First passage risk probability optimality for continuous time Markov decision processes [PDF]
, 2019 summary:In this paper, we study continuous time Markov decision processes (CTMDPs) with a denumerable state space, a Borel action space, unbounded transition rates and nonnegative reward function.
Wen, Xian, Huo, Haifeng
core +1 more source
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
doaj +1 more source
Alexandria Engineering JournalInfrastructure assets, such as pavements, naturally deteriorate over time due to traffic loads, environmental conditions, and other external factors. Traditionally, deterministic models have been employed to predict performance, aiding in work planning ...
Che Shobry Shahid +5 more
doaj +1 more source
Nonlinear Markov games on a finite state space (mean-field and binary interactions) [PDF]
, 2012 Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles, subsidiaries, species, police units, etc), say Nk for a player ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou +7 more
wiley +1 more source