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Kernel Embedding Distributional Reinforcement Learning

technology1 mentionslast seen Sep 22, 2026

An offline method to estimate kernel mean embeddings of conditional multivariate return distributions from observed offline trajectories.

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Kernel Embedding Distributional Reinforcement Learningdepends onkernel mean embedding90% confidence1 source
Kernel Embedding Distributional Reinforcement Learningdepends onMaximum Mean Discrepancy85% confidence1 source
Kernel Embedding Distributional Reinforcement Learningapplies tohotel search optimization80% confidence1 source

Kernel Embedding Distributional Reinforcement Learning

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Kernel Embedding Distributional Reinforcement Learningdepends onMaximum Mean Discrepancy

85% confidence1 supporting mentions

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preprintarXivSep 19, 2026Vector-Valued Distributional Reinforcement Learning Policy Evaluation: A Hilbert Space Embedding Approach
approximates the conditional embedding and estimates its a finite-dictionary representation coefficients through a maximum mean discrepancy Bellman criterion