Quantile regression is increasingly encountered in modern big data
appli...
In classic reinforcement learning algorithms, agents make decisions at
d...
Workloads in modern cloud data centers are becoming increasingly complex...
This paper tackles the problem of how to pre-train a model and make it
g...
In this paper, we explore an approach to auxiliary task discovery in
rei...
Auxiliary tasks have been argued to be useful for representation learnin...
We study the problem of generalizable task learning from human demonstra...
Human assistive robotics have the potential to help the elderly and
indi...
Human assistive robotics have the potential to help the elderly and
indi...
We consider the problem of visual imitation learning without human
super...
The principal support vector machines method (Li et al., 2011) is a powe...
We propose a method to tackle the problem of mapless collision-avoidance...
We study the problem of learning manipulation skills from human demonstr...
We present a coarse-to-fine approach based semi-autonomous teleoperation...
We evaluate different state representation methods in robot hand-eye
coo...
We present a robot eye-hand coordination learning method that can direct...
This work describes the development of a robotic system that acquires
kn...