Publications

2026

  1. Provably Efficient and Agile Randomized Q-Learning
    Wang, He, Xu, Xingyu, and Chi, Yuejie
    AISTATS 2026

2025

    2024

    1. Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
      Wang, He, Shi, Laixi, and Chi, Yuejie
      RLC 2024
    2. Communication-Efficient Federated Optimization over Semi-Decentralized Networks
      Wang, He, and Chi, Yuejie
      IEEE Transactions on Signal and Information Processing over Networks (TSIPN) & ICASSP 2024

    2022

    1. Distributed Optimization with Coupling Constraints
      Wu, Xuyang,  Wang, He, and Lu, Jie
      Transactions on Automatic Control (TAC) 2022
    2. Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
      Han, Songyang,  Wang, He, Su, Sanbao, Shi, Yuanyuan, and Miao, Fei
      ICRA 2022

    2021

    1. Decentralized Statistical Inference with Unrolled Graph Neural Networks
      Wang, He, Shen, Yifei, Wang, Ziyuan, Li, Dongsheng, Zhang, Jun, Letaief, Khaled B., and Lu, Jie
      CDC 2021

    2020

    1. An Inexact Fenchel Dual Gradient Algorithm for Distributed Optimization
      Wang, He, and Lu, Jie
      ICCA 2020