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在“Elsevier”中，命中：356条，耗时：0.1229413 秒

1.Reinforcement learning and optimal adaptive control: An overview and implementation examples

作者：Said G. Khan^a ; ^{mesgk@bris.ac.uk} ; [Author Vitae] ; Guido Herrmann^b ; [Author Vitae] ; Frank L. Lewis^c ; [Author Vitae] ; Tony Pipe^a ; [Author Vitae] ; Chris Melhuish^d ; [Author Vitae]

关键词：Reinforcement learning ; ADP ; Q-learning ; Optimal adaptive control

刊名：Annual Reviews in Control

出版年：2012

2.Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems

作者：Xueping Li ; ^{Xueping.Li@utk.edu} ; Jiao Wang ^{jiao.wang@utk.edu} ; Rapinder Sawhney ^{sawhney@utk.edu}

关键词：Pricing ; Reinforcement learning (RL) ; Scheduling ; Q-learning ; Simulation-based optimization ; Semi-Markov Decision Problem (SMDP)

刊名：European Journal of Operational Research

出版年：2012

3.Dyna-: A heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems

作者：Matilde Santos ^{msantos@dacya.ucm.es} ; José ; Antonio Martí ; n H. ; ^{jamartinh@fdi.ucm.es} ; Victoria Ló ; pez ^{vlopez@dacya.ucm.es} ; Guillermo Botella ^{gbotella@fdi.ucm.es}

关键词：Decision-making ; Path-finding ; Heuristic-search ; A-star ; Reinforcement-learning

刊名：Knowledge-Based Systems

出版年：2012

4.A computational model of use-dependent motor recovery following a stroke: Optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics

作者：David J. Reinkensmeyer^a ; ^b ; ^c ; ^{dreinken@uci.edu} ; Emmanuel Guigon^d ; ^e ; Marc A. Maier^f ; ^g

关键词：Stroke ; Motor control ; Reinforcement learning ; Use-dependent plasticity

刊名：Neural Networks

出版年：2012

5.SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning

作者：Jorge Palombarini^a ; Ernesto Martí ; nez^b ; ^{ecmarti@santafe-conicet.gov.ar}

关键词：Manufacturing systems ; Real-time rescheduling ; Automated planning ; Reinforcement learning ; Information systems ; Relational abstractions

刊名：Expert Systems with Applications

出版年：2012

6.Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system

作者：Moonsoo Shin^a ; Kwangyeol Ryu^b ; Mooyoung Jung^c ; ^{myjung@unist.ac.kr}

关键词：Self-evolutionary manufacturing system ; Fractal organization ; Goal-regulation ; Reinforcement learning ; Agent ; Production planning

刊名：Expert Systems with Applications

出版年：2012

7.Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs

作者：Finale Doshi-Velez^a ; ^{finale@alum.mit.edu} ; Joelle Pineau^b ; Nicholas Roy^a

关键词：Partially observable Markov decision process ; Reinforcement learning ; Bayesian methods

刊名：Artificial Intelligence

出版年：2012

8.Negative reinforcement learning is affected in substance dependence

作者：Laetitia L. Thompson^a ; ^c ; Eric D. Claus^b ; Susan K. Mikulich-Gilbertson^a ; ^c ; Marie T. Banich^a ; ^d ; Thomas Crowley^a ; ^c ; Theodore Krmpotich^e ; David Miller^e ; Jody Tanabe^a ; ^c ; ^e ; ^{Jody.Tanabe@ucdenver.edu}

关键词：Substance dependence ; Decision making ; Negative reinforcement

刊名：Drug and Alcohol Dependence

出版年：2012

9.An adaptive learning scheme for load balancing with zone partition in multi-sink wireless sensor network

作者：Sheng-Tzong Cheng ^{stcheng@mail.ncku.edu.tw} ; Tun-Yu Chang ; ^{p7897117@mail.ncku.edu.tw}

关键词：Adaptive learning ; Reinforcement learning problem ; Load balancing ; Multi-sink wireless sensor network ; Q-learning based adaptive zone partition scheme

刊名：Expert Systems with Applications

出版年：2012

10.Selective role for striatal and prefrontal regions in processing first trial feedback during single-trial associative learning

作者：James C. Eliassen^a ; ^b ; ^c ; ^{James.Eliassen@UC.edu} ; Martine Lamy^a ; Jane B. Allendorfer^a ; ^d ; Erin Boespflug^a ; Daniel P. Bullard^e ; Matthew S. Smith^a ; ^b ; Jing-Huei Lee^a ; ^b ; ^f ; Stephen M. Strakowski^a ; ^b ; ^c ; ^f

关键词：Conditional motor learning ; Punishment ; Reinforcement ; Reward ; Operant ; Conditioning ; Instrumental ; fMRI ; Association

刊名：Brain Research

出版年：2012

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