10 citations · 32 across the 22 of their papers we have counts for
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cs.RO2018
Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison, Apoorva Sharma, Marco Pavone
Gaussian Process (GP) regression has seen widespread use in robotics due to its generality, simplicity of use, and the utility of Bayesian predictions. The predominant implementati…
cs.RO2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic, James Harrison, Apoorva Sharma +2
Model-free Reinforcement Learning (RL) offers an attractive approach to learn control policies for high-dimensional systems, but its relatively poor sample complexity often forces…