101 citations · 339 across the 13 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 101 cited
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, Simin Liu +4
Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and…
cs.RO2018★ 40 cited
Expressive Robot Motion Timing
Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi +1
Our goal is to enable robots to \emph{time} their motion in a way that is purposefully expressive of their internal states, making them more transparent to people. We start by inve…