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09/30/2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning
This paper addresses the problem of reliably and efficiently solving bro...
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02/02/2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning
This paper addresses the problem of learning abstractions that boost rob...
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10/31/2021
JEDAI Explains Decision-Making AI
This paper presents JEDAI, an AI system designed for outreach and educat...
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08/28/2021
Anytime Stochastic Task and Motion Policies
In order to solve complex, long-horizon tasks, intelligent robots need t...
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12/01/2020
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning
Robot motion planning involves computing a sequence of valid robot confi...
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04/30/2019
