Tengyang Xie

发表

Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling

Yifei Ma, Yu-Xiang Wang, Tengyang Xie, 2019, NeurIPS.

M ar 2 02 0 Q ⋆ Approximation Schemes for Batch Reinforcement Learning : A eoretical Comparison

Nan Jiang, Tengyang Xie, 2020 .

Bellman-consistent Pessimism for Offline Reinforcement Learning

Alekh Agarwal, Nan Jiang, Paul Mineiro, 2021, Neural Information Processing Systems.

Interaction-Grounded Learning with Action-inclusive Feedback

Dylan J. Foster, J. Langford, I. Momennejad, 2022, ArXiv.

Adversarially Trained Actor Critic for Offline Reinforcement Learning

Alekh Agarwal, Nan Jiang, Tengyang Xie, 2022, ICML.

Interaction-Grounded Learning with Action-inclusive Feedback

Dylan J. Foster, J. Langford, I. Momennejad, 2022, NeurIPS.

Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency

Masatoshi Uehara, Nan Jiang, Wen Sun, 2021, ArXiv.

ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data

Nan Jiang, Tengyang Xie, Ching-An Cheng, 2022, ArXiv.

The Role of Coverage in Online Reinforcement Learning

Dylan J. Foster, S. Kakade, Nan Jiang, 2022, ICLR.

Provably Efficient Q-Learning with Low Switching Cost

Yu Bai, Nan Jiang, Yu-Xiang Wang, 2019, NeurIPS.

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

Caiming Xiong, Nan Jiang, Tengyang Xie, 2021, NeurIPS.

Batch Value-function Approximation with Only Realizability

Nan Jiang, Tengyang Xie, Nan Jiang, 2020, ICML.

$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison pdf

Nan Jiang, Tengyang Xie, Nan Jiang, 2020, 2003.03924.

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Bo Liu, Yangyang Xu, Yinlam Chow, 2018, NeurIPS.

Adversarial Model for Offline Reinforcement Learning

Byron Boots, Nan Jiang, Tengyang Xie, 2023, NeurIPS.

A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting pdf

Philip Amortila, Tengyang Xie, Nan Jiang, 2020, ArXiv.

Interaction-Grounded Learning

John Langford, Paul Mineiro, Tengyang Xie, 2021, ICML.

An unprecedented octahedral {Cd30} nanocage supported by twelve pendant-armed tetraacetate macrocyclic ligands.

Tengyang Xie, Hua Wu, Jin Yang, 2013, Dalton transactions.

Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison

Tengyang Xie, Nan Jiang, 2020, UAI.

Marginalized Off-Policy Evaluation for Reinforcement Learning

Yifei Ma, Yu-Xiang Wang, Tengyang Xie, 2019, NeurIPS 2019.

Bellman-consistent Pessimism for Offline Reinforcement Learning

Alekh Agarwal, Nan Jiang, Paul Mineiro, 2021, NeurIPS.