Explaining Intelligent Agent’s Future Motion on Basis of Vocabulary Learning With Human Goal Inference

Explaining Intelligent Agent’s Future Motion on Basis of Vocabulary Learning With Human Goal Inference

Intelligent agents (IAs) that use machine learning for decision-making often lack the explainability about what they are going to do, which makes human-IA collaboration challenging. However, previous methods of explaining IA behavior require IA developers to predefine vocabulary that expresses motio...

Full description

Bibliographic Details
Main Authors: Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Explainable AI
human–agent interaction
intelligent agent
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9777698/

Internet

https://ieeexplore.ieee.org/document/9777698/

Similar Items