Pan Xu

10 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4 ICML ×3 AAAI ×1 AISTATS ×1 ICLR ×1

Frequent coauthors

Zhishuai Liu

×5

Tianyuan Jin

×3

Weixin Wang

×2

Hao-Lun Hsu

×2

Cheng Tang

×1

Yiting He

×1

William Chang

×1

Yu Yang

×1

Jing Tang

×1

Xiaokui Xiao

×1

Xuanfei Ren

×1

Haque Ishfaq

×1

Papers

Linear Mixture Distributionally Robust Markov Decision Processes
NeurIPS 2025 ·
Zhishuai Liu
, Pan Xu
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
ICML 2025 ·
Cheng Tang
,
Zhishuai Liu
, Pan Xu
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
ICML 2025 ·
Yiting He
,
Zhishuai Liu
,
Weixin Wang
, Pan Xu
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
AISTATS 2024 ·
Zhishuai Liu
, Pan Xu
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
AAAI 2024 ·
Tianyuan Jin
,
Hao-Lun Hsu
,
William Chang
, Pan Xu
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
NeurIPS 2024 ·
Zhishuai Liu
, Pan Xu
Optimal Batched Best Arm Identification
NeurIPS 2024 ·
Tianyuan Jin
,
Yu Yang
,
Jing Tang
,
Xiaokui Xiao
, Pan Xu
Optimal Batched Linear Bandits
ICML 2024 ·
Xuanfei Ren
,
Tianyuan Jin
, Pan Xu
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
ICLR 2024 ·
Haque Ishfaq
,
Qingfeng Lan
, Pan Xu,
A. Rupam Mahmood
,
Doina Precup
,
Anima Anandkumar
,
Kamyar Azizzadenesheli
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024 ·
Hao-Lun Hsu
,
Weixin Wang
,
Miroslav Pajic
, Pan Xu