Pan Xu

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Finite-time frequentist regret bounds of multi-agent thompson sampling on sparse hypergraphs

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning

Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation

Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization

Optimal Batched Best Arm Identification

PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning

Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits