Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference

Incremental Learning of Goal-Directed Actions in a Dynamic Environment by a Robot Using Active Inference

This study investigated how a physical robot can adapt goal-directed actions in dynamically changing environments, in real-time, using an active inference-based approach with incremental learning from human tutoring examples. Using our active inference-based model, while good generalization can be a...

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Bibliographic Details
Main Authors: Takazumi Matsumoto, Wataru Ohata, Jun Tani
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Entropy
Subjects:
incremental learning
free energy principle
active inference
goal-directed action planning
Online Access:https://www.mdpi.com/1099-4300/25/11/1506

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