Explainable and interpretable reinforcement learning for robotics
Auteur :
Roth, Aaron M. / Manocha, Dinesh / Sriram, Ram D. / Tabassi, Elham
Éditeur :
Springer International Publishing AG
ISBN :
9783031475207
Date de publication :
20 mars 2025
Dimensions :
24,0 x 16,8 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have impeded the real-world adoption of RL algorithms for robotics and related areas.