Litcius/Paper detail

Federated reinforcement learning: techniques, applications, and open challenges

Jiaju Qi, Qihao Zhou, Lei Lei, Kan Zheng

2021203 citationsDOIOpen Access PDF

Abstract

Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence and robotics, particularly on the interdisciplinary areas of intelligence and robotics.

Topics & Concepts

Reinforcement learningComputer sciencePerspective (graphical)ReinforcementField (mathematics)Open researchKey (lock)Focus (optics)Artificial intelligenceComputer securityWorld Wide WebMathematicsPure mathematicsPsychologyPhysicsSocial psychologyOpticsPrivacy-Preserving Technologies in DataMobile Crowdsensing and CrowdsourcingReinforcement Learning in Robotics
Federated reinforcement learning: techniques, applications, and open challenges | Litcius