"Revisiting"的相关文档

标签“Revisiting”的相关文档，共9条

Revisiting Rainbow Promoting more insightful and inclusive deep reinforcement learning research
RevisitingRainbow:PromotingmoreInsightfulandInclusiveDeepReinforcementLearningResearchJohanS.Obando-CeronPabloSamuelCastro1AbstractWhilethesebenchmarkshavehelpedtoevaluatenewmeth-odsinastandardized...
and More Promoting Revisiting Rainbow
2023-11-16 19:41:348806.32 MB22
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Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
RevisitingPointCloudShapeClassiﬁcationwithaSimpleandEffectiveBaselineAnkitGoyal1HeiLaw1BoweiLiu1AlejandroNewell1JiaDeng1AbstractFigure1.PerformanceofdifferentmodelsonModelNet40.Thoseusing>1024poin...
with simple Shape Classification Point
2023-11-16 19:41:341295581.11 KB16
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Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning
RevisitingPeng’sQ(λ)forModernReinforcementLearningTadashiKozuno1YunhaoTang2MarkRowland3Re´miMunos4StevenKapturowski3WillDabney3MichalValko4DavidAbel3Abstract1996;Watkins,1989;Peng&Williams,1994;...
Learning for Reinforcement Modern Revisiting
2023-11-16 19:41:3310963.25 MB10
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Revisiting Fundamentals of Experience Replay
RevisitingFundamentalsofExperienceReplayWilliamFedus12PrajitRamachandran1RishabhAgarwal1YoshuaBengio23HugoLarochelle14MarkRowland5WillDabney5Abstracttounderstandtheinterplayoflearningalgorithmsandd...
of Experience Replay Revisiting Fundamentals
2023-11-14 21:46:121990618.05 KB28
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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
RevisitingTrainingStrategiesandGeneralizationPerformanceinDeepMetricLearningKarstenRoth12TimoMilbich2SamarthSinha13PrateekGupta14Bjo¨rnOmmer2JosephPaulCohen1AbstractFigure1.Meanrecallperformancean...
and in generalization Training Performance
2023-11-14 21:46:1115941.4 MB22
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Revisiting Spatial Invariance with Low-Rank Local Connectivity
RevisitingSpatialInvariancewithLow-RankLocalConnectivityGamaleldinF.Elsayed1PrajitRamachandran1JonathonShlens1SimonKornblith1AbstractH1:Spatialinvarianceisagoodinductivebias.H2:Spatialinvarianceiso...
Low-Rank with Local Spatial Invariance
2023-11-14 21:46:111865826.51 KB22
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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 21:44:071329660.87 KB22
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Revisiting the Softmax Bellman Operator New Benefits and New Perspective
RevisitingtheSoftmaxBellmanOperator:NewBeneﬁtsandNewPerspectiveZhaoSong1RonaldE.Parr1LawrenceCarin1Abstracttivatestheuseofexploratoryandpotentiallysub-optimalactionsduringlearning,andonecommonly-u...
Softmax Operator the Bellman New
2023-11-13 14:48:2510891.28 MB12
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Revisiting precision recall definition for generative modeling
RevisitingPrecisionandRecallDeﬁnitionforGenerativeModelEvaluationLo¨ıcSimon1RyanWebster1JulienRabin1AbstractFigure1.Illustrationofprecision-recallcurvesformulti-modalcontinuousdistributions.Left...
for Generative Precision Modeling Revisiting
2023-11-13 14:48:2518512.32 MB10
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