"Regret"的相关文档 - 文库宝

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标签“Regret”的相关文档，共36条

Pure Exploration and Regret Minimization in Matching Bandits
PureExplorationandRegretMinimizationinMatchingBanditsFloreSentenac1JialinYi2Cle´mentCalauze`nes3VianneyPerchet4MilanVojnovic´2Abstractonlineadvertising,wheretheprobabilitythatauserclicksonanaddep...
Matching and in Exploration Regret
2023-11-16 19:28:35996390.82 KB5
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Optimal Regret algorithm for Pseudo-1d Bandit Convex Optimization
OptimalRegretalgorithmforPseudo-1dBanditConvexOptimizationAadirupaSaha1NagarajanNatarajan2PraneethNetrapalli23PrateekJain23Abstracttheproblemhasa"pseudo-1d"structureinthelossfunc-tionsft(w)=t(gt(w;...
for Algorithm Optimal Convex Regret
2023-11-16 19:28:261023586.29 KB10
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Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
RegretMinimizationinStochasticNon-ConvexLearningviaaProximal-GradientApproachNadavHallak1PanayotisMertikopoulos2VolkanCevher3Abstractproblems,andtheycanadapttodifferentmeasuresofRegretunderdifferen...
Learning Stochastic via in Non-convex
2023-11-16 19:28:23647361.94 KB11
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Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
RegretandCumulativeConstraintViolationAnalysisforOnlineConvexOptimizationwithLongTermConstraintsXinleiYi1XiuxianLi2TaoYang3LihuaXie4TianyouChai3KarlH.Johansson1Abstractcationsinonlinebinaryclassiﬁ...
for and Analysis Regret Constraint
2023-11-16 19:28:231003958.42 KB15
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Non-Exponentially Weighted Aggregation Regret Bounds for Unbounded Loss Functions
Non-ExponentiallyWeightedAggregation:RegretBoundsforUnboundedLossFunctionsPierreAlquier1Abstractthesub-g√radientoftcanbeused.SuchstrategiesleadtoRegretinTundertheadditionalassumptionthatthetareWet...
for Aggregation Regret bounds Unbounded
2023-11-16 19:15:381792369.23 KB7
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Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
LogarithmicRegretforReinforcementLearningwithLinearFunctionApproximationJiafanHe1DongruoZhou1QuanquanGu1AbstractAcommonapproachtocopewithhigh-dimensionalstateandactionspacesistoutilizefunctionappro...
Learning for with Reinforcement Regret
2023-11-16 19:05:101276340.76 KB17
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Lenient Regret and Good-Action Identification in Gaussian Process Bandits
LenientRegretandGood-ActionIdentiﬁcationinGaussianProcessBanditsXuCai1SelwynGomes1JonathanScarlett12Abstractgorithmscanoftenbeappliedinauniﬁedmannerinthesetwosettings.Inthispaper,westudytheproble...
Identification and Gaussian in Regret
2023-11-16 19:05:061278565.8 KB30
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Improved Regret Bound and Experience Replay in Regularized Policy Iteration
ImprovedRegretBoundandExperienceReplayinRegularizedPolicyIterationNevenaLazic´1DongYin1YasinAbbasi-Yadkori1CsabaSzepesva´ri12AbstractproposedbyEven-Daretal.(2009),wheretheagentse-lectspoliciesbyr...
and in Regret Improved Experience
2023-11-16 18:47:029904.02 MB11
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Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
ImprovedRegretBoundsofBilinearBanditsusingActionSpaceAnalysisKyoungseokJang1Kwang-SungJun2Se-YoungYun3WanmoKang1Abstractarrangecouplesbasedontheirexperiencestogetbetterrat-ingsandrewards.Balancinge...
of Using Bandits Regret bounds
2023-11-16 18:47:021468446.11 KB3
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Collaborative Bayesian Optimization with Fair Regret
CollaborativeBayesianOptimizationwithFairRegretRachaelHweeLingSim1YehongZhang2BryanKianHsiangLow1PatrickJaillet3Abstractperformancebysequentiallyselectinginputqueriesforeval-uatingtheobjectivefunct...
Optimization with Bayesian Regret Collaborative
2023-11-16 18:11:2217823.69 MB11
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Bayesian Optimistic Optimisation with Exponentially Decaying Regret
BayesianOptimisticOptimisationwithExponentiallyDecayingRegretHungTran-The1SunilGupta1SantuRana1SvethaVenkatesh1Abstracttransformaglobaloptimisationproblemintoasequenceofauxiliaryoptimisationproblem...
with Bayesian Regret Optimisation Optimistic
2023-11-16 18:07:4316346.09 MB16
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Beyond $log^2(T)$ Regret for decentralized bandits in matching markets
Beyondlog2(T)RegretforDecentralizedBanditsinMatchingMarketsSoumyaBasu1KarthikAbinavSankararaman2AbishekSankararaman3Abstractbanditsisdedicatedtounderstandingalgorithmicprinciplesintheinterplayofcom...
for in Beyond Decentralized Bandits
2023-11-16 18:07:3616906.04 MB15
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A Regret Minimization Approach to Iterative Learning Control
ARegretMinimizationApproachtoIterativeLearningControlNamanAgarwal1EladHazan12AnirudhaMajumdar12KaranSingh3Abstractoffactors.Theprimarychallengewefocusoninthispa-peristheexistenceofunmodeleddeviatio...
Learning to Approach Iterative Regret
2023-11-16 17:51:57736493.47 KB18
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Stochastic Regret Minimization in Extensive-Form Games
StochasticRegretMinimizationinExtensive-FormGamesGabrieleFarina1ChristianKroer2TuomasSandholm1345AbstractTypically,EFGmodelsareoperationalizedbycomputingeitheraNashequilibriumofthegame,oranapproxim...
Stochastic in Regret Minimization Games
2023-11-14 21:46:331254431.34 KB7
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Near-optimal Regret Bounds for Stochastic Shortest Path
Near-optimalRegretBoundsforStochasticShortestPathAlonCohen1HaimKaplan12YishayMansour12AvivRosenberg2AbstractThefocusofthisworkisonRegretminimizationinSSP.Itbuildsonextensiveliteratureontheoreticala...
for Stochastic Regret bounds Near-Optimal
2023-11-14 21:45:191629233.14 KB3
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Logarithmic Regret for Online Control with Adversarial Noise
LogarithmicRegretforAdversarialOnlineControlDylanJ.Foster1MaxSimchowitz2Abstractbyawell-behavedstochasticprocessordrivenbyaworst-caseprocesstowhichthelearnermustremainrobustinWeintroduceanewalgorit...
for Online Adversarial with Regret
2023-11-14 21:45:0411113.14 MB30
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Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
LogarithmicRegretforLearningLinearQuadraticRegulatorsEfﬁcientlyAsafCassel1AlonCohen2TomerKoren1Abstract√O(T)Regretboundforthissettingalbeitwithacomputa-WeconsidertheproblemoflearninginLin-tionall...
Learning for Regret Linear Logarithmic
2023-11-14 21:45:031205252.61 KB6
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Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ImprovedBoundsonMinimaxRegretunderLogarithmicLossviaSelf-ConcordanceBlairBilodeau123DylanJ.Foster4DanielM.Roy123AbstractTheloglosspenalizestheplayerbasedonhowmuchprob-abilitymasstheyplaceontheactua...
on under Regret bounds Improved
2023-11-14 21:44:341058393.3 KB18
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A new Regret analysis for Adam-type algorithms
AnewRegretanalysisforAdam-typealgorithmsAhmetAlacaoglu1YuraMalitsky1PanayotisMertikopoulos23VolkanCevher1AbstractOnecanwonderwhetherthereisaninherentobstacle–intheproposedmethodsorthesetting–whic...
for Algorithms Analysis Regret New
2023-11-14 21:42:521456259.28 KB2
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Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
TighterProblem-DependentRegretBoundsinReinforcementLearningwithoutDomainKnowledgeusingValueFunctionBoundsAndreaZanette1EmmaBrunskill2AbstractFortunatelyinpracticereinforcementlearningalgorithmsof-t...
Learning Reinforcement in Regret bounds
2023-11-13 14:48:48577493.86 KB20
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