A new paradigm to study social and physical affordances as model-based reinforcement learning

Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be extended to affordances in social contexts. This...

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Bibliographic Details
Main Authors: Augustin Chartouny, Keivan Amini, Mehdi Khamassi, Benoît Girard
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-01-01
Series:Cognitive Robotics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241324000107
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