FedHQL: Federated Heterogeneous Q-Learning

FedHQL: Federated Heterogeneous Q-Learning

26 January 2023

Flint Xiaofeng Fan

Cheston Tan

Bryan Kian Hsiang Low

Roger Wattenhofer

Papers citing "FedHQL: Federated Heterogeneous Q-Learning"

4 / 4 papers shown

Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 19 0 0 15 May 2025
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning Xinyang Lu Flint Xiaofeng Fan Tianying Wang 16 6 0 28 Jun 2023
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 29 76 0 25 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,703 0 18 Mar 2020