130 citations · 339 across the 23 of their papers we have counts for
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cs.RO2019★ 5 cited
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning?
W. Cannon Lewis, Mark Moll, Lydia E. Kavraki
Deep Reinforcement Learning is a promising paradigm for robotic control which has been shown to be capable of learning policies for high-dimensional, continuous control of unmodele…
cs.RO2019★ 46 cited
Using Local Experiences for Global Motion Planning
Constantinos Chamzas, Anshumali Shrivastava, Lydia E. Kavraki
Sampling-based planners are effective in many real-world applications such as robotics manipulation, navigation, and even protein modeling. However, it is often challenging to gene…