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Xiaoyu Chen 0008
Person information
- affiliation: Peking University, Key Laboratory of Machine Perception, School of Intelligence Science and Technology, China
Other persons with the same name
- Xiaoyu Chen (aka: Xiao-Yu Chen, Xiao-yu Chen) — disambiguation page
- Xiaoyu Chen 0001 — Beihang University, Beijing, China
- Xiaoyu Chen 0002 — China University of Geosciences, Wuhan, China (and 1 more)
- Xiaoyu Chen 0003 — Nanjing University of Science and Technology, Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense,, China
- Xiaoyu Chen 0004 — Huawei Translation Service Center, Beijing, China
- Xiaoyu Chen 0005 — University at Buffalo, Department of Industrial and Systems Engineering, NY, USA (and 2 more)
- Xiaoyu Chen 0006 — TU Darmstadt, Eduard-Zintl-Institut für Anorganische und Physikalische Chemie, Germany
- Xiaoyu Chen 0007 — Shanghai University, School of Cultural Heritage and Information Management, Department of Library, Information and Archives, China (and 1 more)
- Xiaoyu Chen 0009 — Yanshan University, School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Qinhuangdao, China
- Xiaoyu Chen 0010 (aka: Xiao-yu Chen 0010) — Zhejiang University City College, School of Information and Electrical Engineering, Hangzhou, China (and 2 more)
- Xiaoyu Chen 0011 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Shenyang, China (and 1 more)
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2020 – today
- 2023
- [c9]Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du:
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML 2023: 39770-39800 - 2022
- [c8]Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang:
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. ICLR 2022 - [c7]Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang:
Understanding Domain Randomization for Sim-to-real Transfer. ICLR 2022 - [c6]Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang:
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML 2022: 3773-3793 - [i9]Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang:
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. CoRR abs/2205.11140 (2022) - [i8]Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon S. Du:
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. CoRR abs/2210.10464 (2022) - 2021
- [c5]Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang:
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. ICLR 2021 - [c4]Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang:
Near-Optimal Representation Learning for Linear Bandits and Linear RL. ICML 2021: 4349-4358 - [i7]Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang:
Near-optimal Representation Learning for Linear Bandits and Linear RL. CoRR abs/2102.04132 (2021) - [i6]Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang:
Understanding Domain Randomization for Sim-to-real Transfer. CoRR abs/2110.03239 (2021) - [i5]Xiaoyu Chen, Jiachen Hu, Lin F. Yang, Liwei Wang:
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. CoRR abs/2110.03244 (2021) - 2020
- [c3]Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang:
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR 2020 - [c2]Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang:
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. ICLR 2020 - [c1]Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang:
(Locally) Differentially Private Combinatorial Semi-Bandits. ICML 2020: 1757-1767 - [i4]Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang:
(Locally) Differentially Private Combinatorial Semi-Bandits. CoRR abs/2006.00706 (2020) - [i3]Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang:
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. CoRR abs/2008.13319 (2020)
2010 – 2019
- 2019
- [i2]Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang:
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR abs/1901.09311 (2019) - [i1]Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang:
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. CoRR abs/1904.06309 (2019)
Coauthor Index
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