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[] - Reinforcement Learning ： An Introductio

[] - Reinforcement Learning ： An Introductio

ID：41236615

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页数：326页

时间：2019-08-20

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1、iReinforcementLearning:AnIntroductionSecondedition,inprogressRichardS.SuttonandAndrewG.BartoABradfordBookTheMITPressCambridge,MassachusettsLondon,EnglandiiInmemoryofA.HarryKlopfContentsPreface..................................viiiSeriesForward...........................

2、..xiiSummaryofNotation..........................xiiiITheProblem11Introduction31.1ReinforcementLearning.....................41.2Examples.............................61.3ElementsofReinforcementLearning..............71.4AnExtendedExample:Tic-Tac-Toe..............101.5Summa

3、ry.............................151.6HistoryofReinforcementLearning...............161.7BibliographicalRemarks.....................232BanditProblems252.1Ann-ArmedBanditProblem..................262.2Action-ValueMethods......................272.3SoftmaxActionSelection......

4、...............302.4IncrementalImplementation...................322.5TrackingaNonstationaryProblem...............332.6OptimisticInitialValues.....................352.7AssociativeSearch(ContextualBandits)............37iiiivCONTENTS2.8Conclusions..........................

5、..382.9BibliographicalandHistoricalRemarks.............403TheReinforcementLearningProblem433.1TheAgent{EnvironmentInterface................433.2GoalsandRewards........................483.3Returns..............................493.4Uni edNotationforEpisodicandContinuingTa

6、sks......523.5TheMarkovProperty.......................533.6MarkovDecisionProcesses....................583.7ValueFunctions..........................603.8OptimalValueFunctions.....................663.9OptimalityandApproximation.................713.10Summary..............

7、...............723.11BibliographicalandHistoricalRemarks.............74IITabularAction-ValueMethods794DynamicProgramming834.1PolicyEvaluation.........................844.2PolicyImprovement........................874.3PolicyIteration..........................914.4ValueIt

8、eration..........................954.5AsynchronousDynamicProgramming..............984.6GeneralizedPolicyIterat

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