Preference-Guided Planning: An Active Elicitation Approach
April 19, 2018 Β· Declared Dead Β· π Adaptive Agents and Multi-Agent Systems
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Authors
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao, Doppa, Dan Roth, Sriraam Natarajan
arXiv ID
1804.07404
Category
cs.AI: Artificial Intelligence
Citations
10
Venue
Adaptive Agents and Multi-Agent Systems
Last Checked
4 months ago
Abstract
Planning with preferences has been employed extensively to quickly generate high-quality plans. However, it may be difficult for the human expert to supply this information without knowledge of the reasoning employed by the planner and the distribution of planning problems. We consider the problem of actively eliciting preferences from a human expert during the planning process. Specifically, we study this problem in the context of the Hierarchical Task Network (HTN) planning framework as it allows easy interaction with the human. Our experimental results on several diverse planning domains show that the preferences gathered using the proposed approach improve the quality and speed of the planner, while reducing the burden on the human expert.
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