Tengyang Xie

According to our database, Tengyang Xie authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Principled Representation Learning from Videos for Reinforcement Learning.

Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford

CoRR, 2024

CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples.

Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee

CoRR, 2024

Harnessing Density Ratios for Online Reinforcement Learning.

Philip Amortila, Dylan J. Foster, Nan Jiang, Ayush Sekhari, Tengyang Xie

CoRR, 2024

2023

Adversarial Model for Offline Reinforcement Learning.

Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Role of Coverage in Online Reinforcement Learning.

Tengyang Xie, Dylan J. Foster, Yu Bai, Nan Jiang, Sham M. Kakade

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Tengyang Xie, Mohak Bhardwaj, Nan Jiang, Ching-An Cheng

CoRR, 2022

Interaction-Grounded Learning with Action-Inclusive Feedback.

Tengyang Xie, Akanksha Saran, Dylan J. Foster, Lekan P. Molu, Ida Momennejad, Nan Jiang, Paul Mineiro, John Langford

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarially Trained Actor Critic for Offline Reinforcement Learning.

Ching-An Cheng, Tengyang Xie, Nan Jiang, Alekh Agarwal

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie

CoRR, 2021

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

Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bellman-consistent Pessimism for Offline Reinforcement Learning.

Tengyang Xie, Ching-An Cheng, Nan Jiang, Paul Mineiro, Alekh Agarwal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Batch Value-function Approximation with Only Realizability.

Tengyang Xie, Nan Jiang

Proceedings of the 38th International Conference on Machine Learning, 2021

Interaction-Grounded Learning.

Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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

Philip Amortila, Nan Jiang, Tengyang Xie

CoRR, 2020

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

Tengyang Xie, Nan Jiang

CoRR, 2020

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

Tengyang Xie, Nan Jiang

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

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

Tengyang Xie, Yifei Ma, Yu-Xiang Wang

CoRR, 2019

Privacy Preserving Off-Policy Evaluation.

Tengyang Xie, Philip S. Thomas, Gerome Miklau

CoRR, 2019

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

Tengyang Xie, Yifei Ma, Yu-Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Provably Efficient Q-Learning with Low Switching Cost.

Yu Bai, Tengyang Xie, Nan Jiang, Yu-Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization.

Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018