10 citations · 16 across the 4 of their papers we have counts for
8 papers
Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
Heming Fu, Guojun Xiong, Jian Li +1
Conventional centralized water management systems face critical limitations from computational complexity and uncertainty propagation. We present MurmuRL, a novel decentralized fra…
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang +1
Federated reinforcement learning (FedRL) enables multiple agents to collaboratively learn a policy without sharing their local trajectories collected during agent-environment inter…
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee +2
Restless multi-armed bandits (RMAB) has been widely used to model constrained sequential decision making problems, where the state of each restless arm evolves according to a Marko…
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
Guojun Xiong, Jian Li
Restless multi-armed bandits (RMAB) play a central role in modeling sequential decision making problems under an instantaneous activation constraint that at most B arms can be acti…
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers
Guojun Xiong, Gang Yan, Rahul Singh +1
With the increasing demand for large-scale training of machine learning models, consensus-based distributed optimization methods have recently been advocated as alternatives to the…
Learning Augmented Index Policy for Optimal Service Placement at the Network Edge
Guojun Xiong, Rahul Singh, Jian Li
We consider the problem of service placement at the network edge, in which a decision maker has to choose between services to host at the edge to satisfy the demands of custome…