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ID:40725550
大小:1.15 MB
页数:18页
时间:2019-08-06
《Self Learning AI-Agents Part I_ Markov Decision Processes》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、Applausefromyou,LudovicBenistant,and115othersArtemOppermannFollowMSc.Physics
2、DeepLearning&AISoftwareDeveloper
3、Expertisein#PredictiveAnalytics#Reinforcement Learning#ComputerVision#NLP#AIforBusinessOct 14·11minreadSelfLearningAI-AgentsPartI:MarkovDecisionProcessesAmathematicalguideonthetheorybehin
4、dDeepReinforcementLearningThisisthe rstarticleofthemulti-partseriesonselflearningAI-Agentsortocallitmoreprecisely—DeepReinforcementLearning.Theaimoftheseriesisn’tjusttogiveyouanintuitiononthesetopics.RatherIwanttoprovideyouwithmoreindepthcomprehensionofthetheory,mathematicsandimplementationbehind
5、themostpopularande ectivemethodsofDeepReinforcementLearning.SelfLearningAI-AgentsSeries—TableofContent•PartI:MarkovDecisionProcesses(Thisarticle)•PartII:DeepQ-Learning•PartIII:Deep(Double)Q-Learning•PartIV:PolicyGradientsforContinuesActionSpaces•PartV:DuelingNetworks•PartVI:AsynchronousActor-Crit
6、icAgents•…Fig.1.AIagentlearnedhowtorunandovercomeobstacles.MarkovDecisionProcesses—TableofContent•0.Introduction•1.ReinforcementLearninginaNutshell•2.MarkovDecisionProcesses•2.1MarkovProcesses•2.2MarkovRewardProcess•2.3ValueFunction•3.BellmanEquation•3.1BellmanEquationforMarkovRewardProcesses•3.2
7、MarkovDecisionProcess—De nition•3.3Policies•3.4Action-ValueFunction•3.5OptimalPolicy•3.6BellmanOptimalityEquation...0.IntroductionDeepreinforcementlearningisontherise.Noothersub- eldofDeepLearningwasmoretalkedaboutintherecentyears-bytheresearchersaswellasthemassmediaworldwide.Mostoutstandingachie
8、vementsindeeplearningweremadeduetodeepreinforcementlearning.FromGoogle’sAlphaGothathavebeatentheworldsbesthumanplayerintheboardgameGo(anachievementthatwasassumedimpossibleacoupleyearsprior)toDeepMind’sAIagentsthatteachthemselvestowalk,runandovercomeobstacles(Fig.1–3).Fig.2.AIagentlearnedhowtoruna
9、ndovercomeobstacles.Fig.3.AIagentlearnedhowtorunandovercomeobstacles.OtherAIagentsexceedsince2014humanlevelperformancesinplayingoldschoolAtarigamessuchasBreakthrough(Fig.4).Themostamazingthingaboutallofthisinmyopinioni
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