"Exploration"的相关文档 - 文库宝

开通VIP限时优惠

|

登录 | 注册

标签“Exploration”的相关文档，共50条

Provably Efficient Exploration in Policy Optimization
ProvablyEfﬁcientExplorationinPolicyOptimizationQiCai1ZhuoranYang2ChiJin3ZhaoranWang1Abstractofiterations,evengiveninﬁnitedata.Meanwhile,fromthestatisticalperspective,itremainsunclearhowtoattainWh...
Efficient Optimization in Policy Exploration
2023-11-14 21:46:00504443.41 KB11
下载文档
No-Regret Exploration in Goal-Oriented Reinforcement Learning
No-RegretExplorationinGoal-OrientedReinforcementLearningJeanTarbouriech12EvrardGarcelon1MichalValko2MatteoPirotta1AlessandroLazaric1Abstractlengthofanepisode(i.e.,thetimetoreachthegoalstate)isunkno...
Learning Reinforcement in Exploration No-Regret
2023-11-14 21:45:252003733.36 KB7
下载文档
Neural Contextual Bandits with UCB-based Exploration
NeuralContextualBanditswithUCB-basedExplorationDongruoZhou1LihongLi2QuanquanGu1Abstracttheexpectedrewardateachroundislinearinthefeaturevector.Whilesuccessfulinboththeoryandpractice(LiWestudythestoc...
Neural with Contextual Exploration Bandits
2023-11-14 21:45:216505.38 MB2
下载文档
Naive Exploration is Optimal for Online LQR
NaiveExplorationisOptimalforOnlineLQRMaxSimchowitz1DylanJ.Foster2Abstractdevelopanon-asymptotictheoryofdata-drivencontinuouscontrol,withanemphasisonunderstandingkeyalgorithmicWeconsidertheproblemof...
for Online Optimal Exploration is
2023-11-14 21:45:181773778.26 KB25
下载文档
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
MaximumEntropyGainExplorationforLongHorizonMulti-goalReinforcementLearningSilviuPitis12HarrisChan12StephenZhao1BradlyStadie2JimmyBa12AbstractInthispaper,weimproveuponexistingapproachestointrin-sicg...
for Exploration Maximum Entropy GAIN
2023-11-14 21:45:0814473.6 MB18
下载文档
Implicit Generative Modeling for Efficient Exploration
ImplicitGenerativeModelingforEfﬁcientExplorationNealeRatzlaff1QinxunBai2LiFuxin1WeiXu2Abstractﬁciency.Agentsareoftentrainedformillions,orevenbil-lionsofsimulationstepsbeforeachievingreasonableper...
for Efficient Generative Exploration Modeling
2023-11-14 21:44:3318354.41 MB21
下载文档
Gamification of Pure Exploration for Linear Bandits
GamiﬁcationofPureExplorationforLinearBanditsRe´myDegenne1PierreMe´nard2XuedongShang3MichalValko4Abstracthighconﬁdencetoagivenqueryusingasfewsamplesaspossible.Weinvestigateanactivepure-explorati...
of for Exploration Bandits Linear
2023-11-14 21:44:201052717.07 KB30
下载文档
Exploration Through Bias Revisiting Biased Maximum Likelihood Estimation in Stochastic Multi-Armed Bandits
ExplorationThroughRewardBiasing:Reward-BiasedMaximumLikelihoodEstimationforStochasticMulti-ArmedBanditsXiLiu1Ping-ChunHsieh2Yu-HengHung2AnirbanBhattacharya3P.R.Kumar1Abstractandthenappliestheaction...
through Exploration Maximum Likelihood Bias
2023-11-14 21:44:071328660.87 KB22
下载文档
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
EfﬁcientOptimisticExplorationinLinear-QuadraticRegulatorsviaLagrangianRelaxationMarcAbeille1AlessandroLazaric2AbstractConﬁdence-basedExploration.Bittantietal.(2006)intro-ducedanadaptivecontrolsys...
Efficient via in Exploration Linear-Quadratic
2023-11-14 21:44:009941.28 MB24
下载文档
Efficient Continuous Pareto Exploration in Multi-Task Learning
EffcientContinuousParetoExplorationinMulti-TaskLearningPingchuanMa1TaoDu1WojciechMatusik1Abstractgiverisetoasetofsolutions,knownastheParetoset,withvaryingpreferencesondifferentobjectives.Tasksinmul...
Learning Efficient in Exploration Multi-task
2023-11-14 21:43:587486.5 MB18
下载文档
Combinatorial Pure Exploration for Dueling Bandit
CombinatorialPureExplorationforDuelingBanditsWeiChen1YihanDu2LongboHuang2HaoyuZhao2Abstracttradeoffinonlinelearning.ThepureExplorationtask(Even-Daretal.,2006;Chen&Li,2016;Sabato,2019)isanInthispape...
for Exploration Dueling Bandit Combinatorial
2023-11-14 21:43:281608348.68 KB14
下载文档
Self-Supervised Exploration via Disagreement
Self-SupervisedExplorationviaDisagreementDeepakPathak1DhirajGandhi2AbhinavGupta23Abstracttotheagentaresparse.Thecommonapproachtoexplo-rationhasbeentogenerate“intrinsic”rewards,i.e.,rewardsEfﬁcie...
via Exploration Self-supervised Disagreement
2023-11-13 14:48:3114114.32 MB12
下载文档
Provably Efficient Maximum Entropy Exploration
ProvablyEfﬁcientMaximumEntropyExplorationEladHazan12ShamM.Kakade342KaranSingh12AbbyVanSoest12Abstractsuchaslearningwithintrinsicrewardandcuriositydrivenmethods,surveyedbelow.Ourworkstudiesaclassof...
Efficient Exploration Provably Maximum Entropy
2023-11-13 14:48:181923522.81 KB9
下载文档
Off-Policy Deep Reinforcement Learning without Exploration
Off-PolicyDeepReinforcementLearningwithoutExplorationScottFujimoto12DavidMeger12DoinaPrecup12Abstractrequirefurtherinteractionswiththeenvironmenttocom-pensate(Hesteretal.,2017;Sunetal.,2018;Chenget...
Learning Reinforcement Deep Off-Policy without
2023-11-13 14:48:01954900.82 KB19
下载文档
Model-Based Active Exploration
Model-BasedActiveExplorationPranavShyam1WojciechJas´kowski1FaustinoGomez1AbstractThisapproachisinherentlymorepowerfulthanreactiveex-ploration,butrequiresamethodtopredicttheconsequencesEfﬁcientexp...
Active Model-Based Exploration
2023-11-13 14:47:5213862.93 MB26
下载文档
Garbage In, Reward Out Bootstrapping Exploration in Multi-Armed Bandits
GarbageIn,RewardOut:BootstrappingExplorationinMulti-ArmedBanditsBranislavKveton1CsabaSzepesva´ri23SharanVaswani4ZhengWen5MohammadGhavamzadeh6TorLattimore2Abstract2013b)isageneralizationofamulti-ar...
in in Exploration Reward Garbage
2023-11-13 14:47:161119798.95 KB26
下载文档
Exploration Conscious Reinforcement Learning Revisited
ExplorationConsciousReinforcementLearningRevisitedLiorShani1YonathanEfroni1ShieMannor1AbstractRL,i.e,whenusingfunctionapproximation,remainsanopenproblem.Onthepracticalside,recentworkscom-TheExplora...
Learning Reinforcement Revisited Exploration Conscious
2023-11-13 14:47:051393361.18 KB28
下载文档
EMI Exploration with Mutual Information
EMI:ExplorationwithMutualInformationHyoungseokKim12JaekyeomKim12YeonwooJeong12SergeyLevine3HyunOhSong12Abstract83Reinforcementlearningalgorithmsstrugglewhen177therewardsignalisverysparse.Inthesecas...
with Exploration Information Mutual EMI
2023-11-13 14:47:0317537.33 MB6
下载文档
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
DistributionalMultivariatePolicyEvaluationandExplorationwiththeBellmanGANDrorFreirich1TzahiShimkin1RonMeir1AvivTamar2Abstracting(DiRL)approach,wherethevaluedistribution,ratherthantheexpectationarel...
and with Evaluation Policy Exploration
2023-11-13 14:46:57579788.75 KB17
下载文档
Distributional Reinforcement Learning for Efficient Exploration
DistributionalReinforcementLearningforEfﬁcientExplorationBorislavMavrin12HengshuaiYao3LinglongKong12KaiwenWu4YaoliangYu4AbstractDeterministicenvironmentIndistributionalreinforcementlearning(RL),th...
Learning for Efficient Reinforcement Exploration
2023-11-13 14:46:5712943.65 MB20
下载文档

首页上页 1 2 3 下页尾页

确认删除?

VIP会员服务
限时5折优惠