Supervised autonomy for online learning in human-robot interaction
نویسندگان
چکیده
منابع مشابه
Supervised autonomy for online learning in human-robot interaction
When a robot is learning it needs to explore its environment and how its environment responds on its actions. When the environment is large and there are a large number of possible actions the robot can take, this exploration phase can take prohibitively long. However, exploration can often be optimised by letting a human expert guide the robot during its learning. Interactive machine learning,...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2017
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2017.03.015