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Tengyang Xie
Tengyang Xie
Bestätigte E-Mail-Adresse bei cs.wisc.edu - Startseite
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Zitiert von
Jahr
Bellman-consistent pessimism for offline reinforcement learning
T Xie, CA Cheng, N Jiang, P Mineiro, A Agarwal
Advances in neural information processing systems 34, 6683-6694, 2021
2312021
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
T Xie, Y Ma, YX Wang
Advances in Neural Information Processing Systems, 9665-9675, 2019
1682019
Policy finetuning: Bridging sample-efficient offline and online reinforcement learning
T Xie, N Jiang, H Wang, C Xiong, Y Bai
Advances in neural information processing systems 34, 27395-27407, 2021
1412021
Batch value-function approximation with only realizability
T Xie, N Jiang
International Conference on Machine Learning, 11404-11413, 2021
1092021
Adversarially trained actor critic for offline reinforcement learning
CA Cheng, T Xie, N Jiang, A Agarwal
International Conference on Machine Learning, 3852-3878, 2022
992022
Provably efficient q-learning with low switching cost
Y Bai, T Xie, N Jiang, YX Wang
Advances in Neural Information Processing Systems, 8004-8013, 2019
982019
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
T Xie, N Jiang
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence …, 2020
952020
Finite sample analysis of minimax offline reinforcement learning: Completeness, fast rates and first-order efficiency
M Uehara, M Imaizumi, N Jiang, N Kallus, W Sun, T Xie
arXiv preprint arXiv:2102.02981, 2021
602021
The role of coverage in online reinforcement learning
T Xie, DJ Foster, Y Bai, N Jiang, SM Kakade
arXiv preprint arXiv:2210.04157, 2022
442022
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
T Xie, B Liu, Y Xu, M Ghavamzadeh, Y Chow, D Lyu, D Yoon
Advances in Neural Information Processing Systems, 1073-1083, 2018
352018
A variant of the wang-foster-kakade lower bound for the discounted setting
P Amortila, N Jiang, T Xie
arXiv preprint arXiv:2011.01075, 2020
222020
Adversarial model for offline reinforcement learning
M Bhardwaj, T Xie, B Boots, N Jiang, CA Cheng
Advances in Neural Information Processing Systems 36, 2024
142024
Armor: A model-based framework for improving arbitrary baseline policies with offline data
T Xie, M Bhardwaj, N Jiang, CA Cheng
arXiv preprint arXiv:2211.04538, 2022
72022
Interaction-Grounded Learning
T Xie, J Langford, P Mineiro, I Momennejad
International Conference on Machine Learning, 11414-11423, 2021
72021
Interaction-grounded learning with action-inclusive feedback
T Xie, A Saran, DJ Foster, L Molu, I Momennejad, N Jiang, P Mineiro, ...
Advances in Neural Information Processing Systems 35, 12529-12541, 2022
42022
Privacy preserving off-policy evaluation
T Xie, PS Thomas, G Miklau
arXiv preprint arXiv:1902.00174, 2019
42019
Harnessing density ratios for online reinforcement learning
P Amortila, DJ Foster, N Jiang, A Sekhari, T Xie
arXiv preprint arXiv:2401.09681, 2024
32024
Marginalized Off-Policy Evaluation for Reinforcement Learning
T Xie, YX Wang, Y Ma
NeurIPS 2018 Workshop on Causal Learning, 2018
32018
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
C Rosset, CA Cheng, A Mitra, M Santacroce, A Awadallah, T Xie
arXiv preprint arXiv:2404.03715, 2024
2024
Towards Principled Representation Learning from Videos for Reinforcement Learning
D Misra, A Saran, T Xie, A Lamb, J Langford
arXiv preprint arXiv:2403.13765, 2024
2024
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