Nowadays, algorithms with fast convergence, small memory footprints, and...
Although reinforcement learning has seen tremendous success recently, th...
Generalizable manipulation skills, which can be composed to tackle
long-...
Training long-horizon robotic policies in complex physical environments ...
In this paper, we focus on the simulation of active stereovision depth
s...
We present a two-step hybrid reinforcement learning (RL) policy that is
...
Learning generalizable manipulation skills is central for robots to achi...
We study how to learn a policy with compositional generalizability. We
p...
Consider an imitation learning problem that the imitator and the expert ...