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Yaqi Duan

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces

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Jan 10, 2024
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Policy evaluation from a single path: Multi-step methods, mixing and mis-specification

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Nov 07, 2022
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Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism

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Mar 11, 2022
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Adaptive and Robust Multi-task Learning

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Feb 10, 2022
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Optimal policy evaluation using kernel-based temporal difference methods

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Sep 24, 2021
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PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows

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Jul 13, 2021
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Learning Good State and Action Representations via Tensor Decomposition

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May 03, 2021
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Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning

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Mar 25, 2021
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Bootstrapping Statistical Inference for Off-Policy Evaluation

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Feb 09, 2021
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Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient

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Nov 08, 2020
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