Reinforcement Learning With Human Advice: A Survey - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Frontiers in Robotics and AI Année : 2021

Reinforcement Learning With Human Advice: A Survey

Résumé

In this paper, we provide an overview of the existing methods for integrating human advice into a reinforcement learning process. We first propose a taxonomy of the different forms of advice that can be provided to a learning agent. We then describe the methods that can be used for interpreting advice when its meaning is not determined beforehand. Finally, we review different approaches for integrating advice into the learning process.
Fichier principal
Vignette du fichier
frobt-08-584075.pdf (1.02 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03244705 , version 1 (01-06-2021)

Identifiants

Citer

Anis Najar, Mohamed Chetouani. Reinforcement Learning With Human Advice: A Survey. Frontiers in Robotics and AI, 2021, ⟨10.3389/frobt.2021.584075⟩. ⟨hal-03244705⟩
72 Consultations
214 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More