2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Near Optimal Policy Optimization via REPS
Aldo Pacchiano, Jonathan Lee, Peter Bartlett +1
Since its introduction a decade ago, \emph{relative entropy policy search} (REPS) has demonstrated successful policy learning on a number of simulated and real-world robotic domain…
cs.RO2016★ 2 cited
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Michael Laskey, Caleb Chuck, Jonathan Lee +5
Motivated by recent advances in Deep Learning for robot control, this paper considers two learning algorithms in terms of how they acquire demonstrations. "Human-Centric" (HC) samp…