Interactive Policy Learning through Confidence-Based Autonomy
نویسندگان
چکیده
منابع مشابه
Interactive Policy Learning through Confidence-Based Autonomy
We present Confidence-Based Autonomy (CBA), an interactive algorithm for policy learning from demonstration. The CBA algorithm consists of two components which take advantage of the complementary abilities of humans and computer agents. The first component, Confident Execution, enables the agent to identify states in which demonstration is required, to request a demonstration from the human tea...
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The problem of learning a policy, a task representation mapping from world states to actions, lies at the heart of many robotic applications. One approach to acquiring a task policy is learning from demonstration, an interactive technique in which a robot learns a policy based on example state to action mappings provided by a human teacher. This thesis introduces Confidence-Based Autonomy, a mi...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2009
ISSN: 1076-9757
DOI: 10.1613/jair.2584