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标签“with”的相关文档，共634条

State Entropy Maximization with Random Encoders for Efficient Exploration
StateEntropyMaximizationwithRandomEncodersforEfﬁcientExplorationYounggyoSeo1LiliChen2JinwooShin1HonglakLee34PieterAbbeel2KiminLee2Abstractproachesencourageagentstovisitdiversestates,butleaveunansw...
for Maximization with random Entropy
2023-11-16 19:41:569605.72 MB26
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Solving Inverse Problems with a Flow-based Noise Model
SolvingInverseProblemswithaFlow-basedNoiseModelJayWhang1QiLei2AlexandrosG.Dimakis3Abstractplausiblesolutionamongthem.SparsityhasclassicallybeenaveryinﬂuentialstructuralpriorforvariousinverseWestud...
with Model Inverse Problems Noise
2023-11-16 19:41:521314843.03 KB20
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Solving Challenging Dexterous Manipulation Tasks with Trajectory Optimisation and Reinforcement Learning
SolvingChallengingDexterousManipulationTaskswithTrajectoryOptimisationandReinforcementLearningHenryCharlesworth1GiovanniMontana1Abstractthehumanhand—capableoftasksrangingfromcomplexgraspingtowriti...
with Tasks Trajectory Solving Challenging
2023-11-16 19:41:5113761.24 MB13
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SMG A Shuffling Gradient-Based Method with Momentum
SMG:AShufﬂingGradient-BasedMethodwithMomentumTrangH.Tran1LamM.Nguyen2QuocTran-Dinh3Abstractlearning,including,butnotlimitedto,logisticregression,multi-kernellearning,conditionalrandomﬁelds,andneu...
with Momentum Method Gradient-Based Shuffling
2023-11-16 19:41:51807774.67 KB22
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SinIR Efficient General Image Manipulation with Single Image Reconstruction
SinIR:EffcientGeneralImageManipulationwithSingleImageReconstructionJihyeongYoo1QifengChen1Abstractdeeplearningbecamepopular,provinginternalapproachescanbesuccessfullyappliedtoseveralimagemanipulati...
Efficient with Image General Single
2023-11-16 19:41:4911923.75 MB16
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Simple and Effective VAE Training with Calibrated Decoders
SimpleandEffectiveVAETrainingwithCalibratedDecodersOlehRybkin1KostasDaniilidis1SergeyLevine2AbstractHowever,inpractice,manyoftheseapproachesrequirecarefulmanualtuningofthebalancebetweentwotermsthat...
and with simple Effective Training
2023-11-16 19:41:4813701.11 MB8
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SiameseXML Siamese Networks meet Extreme Classifiers with 100M Labels
SiameseXML:SiameseNetworksmeetExtremeClassiﬁerswith100MLabelsKunalDahiya1AnanyeAgarwal1DeepakSaini2GururajK3JianJiao3AmitSingh3SumeetAgarwal1PurushottamKar42ManikVarma21Abstractdescriptionse.g.,pr...
Networks with Classifiers Extreme meet
2023-11-16 19:41:4718851.17 MB6
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Self-supervised Graph-level Representation Learning with Local and Global Structure
Self-supervisedGraph-levelRepresentationLearningwithLocalandGlobalStructureMinghaoXu1HangWang1BingbingNi1HongyuGuo2JianTang345Abstract2020).Thesemethodsareusuallytrainedinasupervisedfashion,whichre...
Learning and with Local Self-supervised
2023-11-16 19:41:4519331.04 MB30
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Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
ScalingMulti-AgentReinforcementLearningwithSelectiveParameterSharingFilipposChristianos1GeorgiosPapoudakis1ArrasyRahman1StefanoV.Albrecht1Abstract(e.g.(Guptaetal.,2017))wherebyagentssharesomeorallp...
Learning with Reinforcement Multi-Agent Scaling
2023-11-16 19:41:429304.45 MB13
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Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
ScalableEvaluationofMulti-AgentReinforcementLearningwithMeltingPotJoelZ.Leibo1EdgarDue´n˜ez-Guzma´n1AlexanderSashaVezhnevets1JohnP.Agapiou1PeterSunehag1RaphaelKoster1JaydMatyas1CharlesBeattie1Ig...
Learning of with Reinforcement Evaluation
2023-11-16 19:41:4117792.13 MB5
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Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Sample-OptimalPACLearningofHalfspaceswithMaliciousNoiseJieShen1AbstractGenerallyspeaking,alargebodyofexistingworksstudytheproblemoflearninghalfspacesunderlabelnoise.Thisin-WestudyefﬁcientPAClearni...
Learning of with PAC Sample-Optimal
2023-11-16 19:41:401234286.92 KB8
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Safe Reinforcement Learning with Linear Function Approximation
SafeReinforcementLearningwithLinearFunctionApproximationSanaeAmani1ChristosThrampoulidis2LinF.Yang1Abstractactionmayleadtocatastrophicresults.Thus,safetyinRLhasbecomeaseriousissuethatrestrictstheap...
Learning Approximation with Reinforcement Linear
2023-11-16 19:41:391103663.7 KB15
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Robust Pure Exploration in Linear Bandits with Limited Budget
RobustPureExplorationinLinearBanditswithLimitedBudgetAyyaAlieva1AshokCutkosky2AbhimanyuDas3Abstracttheexplorationphaseshouldbesomehowefﬁcient-wewishtomakethebestuseofourlimitedbudgetinordertoWecon...
with Robust in Exploration Bandits
2023-11-16 19:41:38893463.98 KB23
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RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
RNNwithParticleFlowforProbabilisticSpatio-temporalForecastingSoumyasundarPal†1LihengMa†1YingxueZhang2MarkCoates1Abstract2016;Kipf&Welling,2017).Recentworksestablishthatgraph-basedspatio-temporalm...
for with Probabilistic RNN Particle
2023-11-16 19:41:3516691000.06 KB22
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Risk-Sensitive Reinforcement Learning with Function Approximation A Debiasing Approach
Risk-SensitiveReinforcementLearningwithFunctionApproximation:ADebiasingApproachYingjieFei1ZhuoranYang2ZhaoranWang1Abstractrisk-seekingobjectiveandβ<0inducesarisk-averseone.ItcanalsobeseenthatVβte...
Learning Approximation with Reinforcement Function
2023-11-16 19:41:35674326.21 KB4
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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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Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
RethinkingRotatedObjectDetectionwithGaussianWassersteinDistanceLossXueYang123JunchiYan12QiMing4WentaoWang1XiaopengZhang3QiTian3AbstractFigure1.ComparisonofthedetectionresultsbetweenSmoothL1loss-bas...
with Gaussian Detection Wasserstein Object
2023-11-16 19:41:335963.18 MB17
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Relative Positional Encoding for Transformers with Linear Complexity
RelativePositionalEncodingforTransformerswithLinearComplexityAntoineLiutkus1OndrˇejC´ıfka2Shih-LunWu345UmutS¸ims¸ekli6Yi-HsuanYang35Gae¨lRichard2AbstractFigure1.Examplesofattentionpatternsobs...
for with Linear Relative Encoding
2023-11-16 19:41:3118051.46 MB24
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Reinforcement Learning with Prototypical Representations
ReinforcementLearningwithPrototypicalRepresentationsDenisYarats12RobFergus1AlessandroLazaric2LerrelPinto1Abstractfromrewardsaloneissampleinefﬁcientandleadstopoorperformance.Priorwork(Srinivasetal....
Learning Representations with Reinforcement Prototypical
2023-11-16 19:41:3111422.51 MB7
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Regularizing towards Causal Invariance Linear Models with Proxies
RegularizingtowardsCausalInvariance:LinearModelswithProxiesMichaelOberst1NikolajThams2JonasPeters2DavidSontag1AbstractβxAβyWeproposeamethodforlearninglinearmod-XαYelswhosepredictiveperformanceis...
Models with Causal Linear Towards
2023-11-16 19:41:291075977.73 KB8
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