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Finite-SampleAnalysisofOff-PolicyTD-Learningvia GeneralizedBellmanOperators

Neural Information Processing Systems

Itisknown that policyevaluation has the interpretation of solving ageneralized Bellman equation. Inthispaper,wederivefinite-sample bounds foranygeneral off-policy TD-like stochastic approximation algorithm that solves for the fixedpoint of this generalized Bellman operator.





Behavior Transformers: Cloningkmodeswithonestone

Neural Information Processing Systems

Infact, modelingmulti-modal 3 k means Continuous action dataset (|A| x a)Clustering into k bins Action offset (1 x a)Continuous action (1 x a)Categorical action bin (1 x k)Continuous action (1 x a)k means encoderk means decoderA.