Publications
Personalized Federated Reinforcement Learning
with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li. Reinforcement Learning Conference 2024 (Deployable RL Workshop: From Research to Practice) [arXiv]
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
Shufan Wang, Guojun Xiong, Shichen Zhang, Huacheng Zeng, Jian Li, Shivendra Panwar. (IEEE Transaction on Wireless Communication 2024) [arXiv]
Whittle Index-based Q-Learning for Wireless Edge Caching with Linear Function Approximation
Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh. (IEEE/ACM Transactions on Networking 2024) [arXiv]
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
Guojun Xiong, Jian Li. ICML 2024. [arXiv]
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li. AAAI 2024. [arXiv]
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shufan Wang, Guojun Xiong, Jian Li. AAAI 2024. [arXiv]
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
Guojun Xiong, Jian Li. NeurIPS 2023. [arXiv]
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shufan Wang, Gang Yan, Jian Li. (IEEE/ACM Transactions on Networking 2023). [arXiv]
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Guojun Xiong, Jian Li. AAAI 2023. [arXiv]
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
Guojun Xiong, Shufan Wang, Jian Li. NuerIPS 2022. [paper]
Index-Aware Reinforcement Learning for Adaptive Video Streaming at the Wireless Edge
Guojun Xiong, Xudong Qin, Bin Li, Rahul Singh, Jian Li. ACM Mobihoc 2022. [arXiv]
Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Guojun Xiong, Shufan Wang, Gang Yan, Jian Li. IEEE INFOCOM, 2022. [arXiv]
Reinforcement Learning Augmented Asymptotically Optimal Index Policies for Finite-Horizon Restless Bandits
Guojun Xiong, Jian Li, Rahul Singh. AAAI 2022. [arXiv]
Optimality conditions of
performance-guaranteed power minimization in mimo networks: A distributed algorithm and its
feasibility
Guojun Xiong, Taejoon Kim, David J. Love, Erik Perrins. (IEEE Transaction on Signal Processing 2020). [arXiv]
Preprints
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li. (Submitted to Neurips 2024) [arXiv]
Direct Online Preference Learning for Restless Multi-Armed Bandits with Preference Feedback
Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai. (Submitted to Neurips 2024) [arXiv]
Straggler-resilient decentralized learning via adaptive asynchronous updates
Guojun Xiong*, Gang Yan*, Shiqiang Wang, Jian Li. (Under review) [arXiv]
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