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2020 – today
- 2024
[c3]Wanqiao Xu, Shi Dong, Benjamin Van Roy:
Posterior Sampling for Continuing Environments. RLC 2024: 2107-2122- [i7]Dilip Arumugam, Wanqiao Xu, Benjamin Van Roy:
Exploration Unbound. CoRR abs/2407.12178 (2024) - 2023
- [c2]Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani:
Uniformly Conservative Exploration in Reinforcement Learning. AISTATS 2023: 10856-10870 - [i6]Wanqiao Xu, Shi Dong, Dilip Arumugam, Benjamin Van Roy:
Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models. CoRR abs/2305.11455 (2023) - [i5]Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy:
RLHF and IIA: Perverse Incentives. CoRR abs/2312.01057 (2023) - [i4]Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu:
Pearl: A Production-ready Reinforcement Learning Agent. CoRR abs/2312.03814 (2023) - 2022
- [c1]Osbert Bastani, Yecheng Jason Ma, Estelle Shen, Wanqiao Xu:
Regret Bounds for Risk-Sensitive Reinforcement Learning. NeurIPS 2022 - [i3]Osbert Bastani, Yecheng Jason Ma, Estelle Shen, Wanqiao Xu:
Regret Bounds for Risk-Sensitive Reinforcement Learning. CoRR abs/2210.05650 (2022) - [i2]Wanqiao Xu, Shi Dong, Benjamin Van Roy:
Posterior Sampling for Continuing Environments. CoRR abs/2211.15931 (2022) - 2021
- [i1]Wanqiao Xu, Kan Xu, Hamsa Bastani, Osbert Bastani:
Safely Bridging Offline and Online Reinforcement Learning. CoRR abs/2110.13060 (2021)
Coauthor Index
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