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标签“as”的相关文档，共29条

初中英语复习资料：such as 的七种用法详解
1.表示举例，意为“例如，诸如此类的，像那样的”，相当于like或forexample。如：TherearefewpoetssuchasKeatsandShelly.像济慈和雪莱这样的诗人现在很少了。Adverbsareusedtomodifyverbs,suchas“quickly”in“sheranfast”.副词用来修饰动词，例如“她跑得快”中的“快”。Animalssuchasrabbitsanddeercontinuetobeactiveallwinter，findingfoodwherevertheycan.像兔和鹿这样的动物整个冬天都是很活跃的，它们到处寻找食物。...
初中英语复习资料 as 七种
2024-03-27 12:45:12131714.79 KB180
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Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
VariationalEmpowermentasRepresentationLearningforGoal-BasedReinforcementLearningJongwookChoi†1ArchitSharma†2HonglakLee13SergeyLevine45ShixiangShaneGu4Abstract1IntroductionLearningtoreachgoalstate...
Learning for Variational Representation as
2023-11-16 19:42:2318914.59 MB18
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Temporal Difference Learning as Gradient Splitting
TemporalDifferenceLearningasGradientSplittingRuiLiu1AlexOlshevsky2AbstractTDusesdifferencesinpredictionsoversuccessivetimestepstodrivethelearningprocess,withthepredictionatTemporaldifferencelearnin...
Learning Gradient Splitting Temporal as
2023-11-16 19:42:01824186.51 KB2
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RRL Resnet as representation for Reinforcement Learning
RRL:ResnetasrepresentationforReinforcementLearningRutavShah1VikashKumar2AbstractSupervisedLearningTheabilitytoautonomouslylearnbehaviorsviaReinforcementdirectinteractionsinuninstrumentedenviron-Lea...
Learning for Reinforcement Representation as
2023-11-16 19:41:396457.08 MB19
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World Model as a Graph Learning Latent Landmarks for Planning
WorldModelasaGraph:LearningLatentLandmarksforPlanningLunjunZhang12GeYang3BradlyStadie4Abstract1.IntroductionPlanning,theabilitytoanalyzethestructureofaAnintelligentagentshouldbeabletosolvedifﬁcult...
Learning Model Graph Latent as
2023-11-16 19:41:2713183.41 MB11
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Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
QuantitativeUnderstandingofVAEasaNon-linearlyScaledIsometricEmbeddingAkiraNakagawa1KeizoKato1TaijiSuzuki23Abstractconvergestoanappropriatevalue,andsoon.Alemietal.(2018)introducedtheRDtrade-offbased...
of as Understanding Quantitative Scaled
2023-11-16 19:28:365411.94 MB26
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Neural SDEs as Infinite-Dimensional GANs
NeuralSDEsasInﬁnite-DimensionalGANsPatrickKidger12JamesFoster12XuechenLi3HaraldOberhauser12TerryLyons12Abstractstochasticdifferentialequations(neuralSDEs),suchasTzen&Raginsky(2019a);Lietal.(2020);...
Neural GANs as Infinite-Dimensional SDEs
2023-11-16 19:15:35886529.87 KB11
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Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
ClusterabilityasanAlternativetoAnchorPointsWhenLearningwithNoisyLabelsZhaoweiZhu1YiwenSong2YangLiu1AbstractparameterizedDNNs(Xiaetal.,2021;Hanetal.,2020),andleadtounexpectedanddisparateimpacts(Liu,...
An Alternative to Points as
2023-11-16 18:11:211550633.26 KB27
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Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
Causality-awarecounterfactualconfoundingadjustmentasanalternativetolinearresidualizationinanticausalpredictiontasksbasedonlinearlearnersEliasChaibubNeto1Abstractinneuroimagestudies1.Linearresiduali...
An Counterfactual Linear as Adjustment
2023-11-16 18:11:181197501.47 KB15
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Continuous Coordination as a Realistic Scenario for Lifelong Learning
ContinuousCoordinationasaRealisticScenarioforLifelongLearningHadiNekoei1AkileshBadrinaaraayanan12AaronCourville123SarathChandar143Abstract1.IntroductionCurrentdeepreinforcementlearning(RL)algo-Deep...
for Continuous as Realistic Coordination
2023-11-16 18:11:1415084.83 MB27
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Undirected Graphical Models as Approximate Posteriors
UndirectedGraphicalModelsasApproximatePosteriorsArashVahdat1EvgenyAndriyash2WilliamG.Macready2Abstractmateposteriormodelshavebeenrealizedbyreducingthegapbetweentrueandapproximateposteriorswithtight...
Models Approximate Graphical Undirected as
2023-11-14 21:46:5518743.59 MB30
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Problems with Shapley-value-based explanations as feature importance measures
ProblemswithShapley-value-basedexplanationsasfeatureimportancemeasuresI.ElizabethKumar1SureshVenkatasubramanian1CarlosScheidegger2SorelleA.Friedler3Abstractbythemodel,andthegameisthepredictionofthe...
Feature with Importance as Problems
2023-11-14 21:45:57941468.14 KB29
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OPtions as REsponses Grounding behavioural hierarchies in multi-agent reinforcement learning
OPtionsasREsponses:GroundingBehaviouralHierarchiesinMulti-AgentReinforcementLearningAlexanderSashaVezhnevets1YuhuaiTonyWu12MariaEckstein31Re´miLeblond1JoelZ.Leibo1Abstractproblemofbuildingagentswi...
in as Hierarchies Options REsponses
2023-11-14 21:45:47927774.31 KB2
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Monte-Carlo Tree Search as Regularized Policy Optimization
Monte-CarlotreesearchasregularizedpolicyoptimizationJean-BastienGrill1FlorentAltche´1YunhaoTang12ThomasHubert3MichalValko1IoannisAntonoglou3Re´miMunos1AbstractAlphaZeroemploysanalternativehandcra...
Optimization Tree Policy Search as
2023-11-14 21:45:13904880.26 KB5
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Discount Factor as a Regularizer in Reinforcement Learning
DiscountFactorasaRegularizerinReinforcementLearningRonAmit1RonMeir1KamilCiosek2Abstractetal.,2019;Zhaoetal.,2019).Inparticular,generalizationiscriticalforsuccessfullydeployingRLagentsthatwereSpecif...
Learning Reinforcement in as Regularizer
2023-11-14 21:43:505351.16 MB30
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Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Black-BoxVariationalInferenceasDistilledLangevinDynamicsMatthewHoffman1Yi-AnMa12AbstractrithmsareMarkovchainMonteCarlo(MCMC)andvaria-tionalinference(VI).VIchoosesafamilyoftractabledis-Variationalin...
Inference Variational Approximation to as
2023-11-14 21:43:181543733.15 KB9
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Understanding MCMC Dynamics as Flows on the Wasserstein Space
UnderstandingMCMCDynamicsasFlowsontheWassersteinSpaceChangLiu1JingweiZhuo1JunZhu1AbstractdistributionminimizestheKLdivergencetothetargetdistri-bution.TheyfullyexploittheapproximationabilityofasetIt...
on the Flows as MCMC
2023-11-13 14:48:531879808.74 KB12
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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
SocialInﬂuenceasIntrinsicMotivationforMulti-AgentDeepReinforcementLearningNatashaJaques12AngelikiLazaridou2EdwardHughes2CaglarGulcehre2PedroA.Ortega2DJStrouse3JoelZ.Leibo2NandodeFreitas2Abstractac...
for Multi-Agent Influence as Social
2023-11-13 14:48:341718653.83 KB9
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Multiplicative Weights Updates as a distributed constrained optimization algorithm Convergence to second-order stationary points almost always
MultiplicativeWeightsUpdateasaDistributedConstrainedOptimizationAlgorithm:ConvergencetoSecond-orderStationaryPointsAlmostAlwaysIoannisPanageas1GeorgiosPiliouras1XiaoWang1Abstracttion).Moreoverbyadd...
Distributed Optimization Updates Constrained Multiplicative
2023-11-13 14:47:551032533.64 KB25
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Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
FeatureGroupingasastochasticRegularizerforHigh-DimensionalStructuredDatasergu¨lAydo¨re1BertrandThirion2Gae¨lVaroquaux2Abstract1.Largefeaturedimension:Neuroimagingdataareveryhigh-dimensional,duet...
for Feature Stochastic High-dimensional as
2023-11-13 14:47:1116611.82 MB13
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