Animals have evolved various agile locomotion strategies, such as sprint...
We present a system for applying sim2real approaches to "in the wild" sc...
Robots will experience non-stationary environment dynamics throughout th...
We investigate the use of prior knowledge of human and animal movement t...
Dynamic quadruped locomotion over challenging terrains with precise foot...
The dm_control software package is a collection of Python libraries and ...
The naive application of Reinforcement Learning algorithms to continuous...
We present an off-policy actor-critic algorithm for Reinforcement Learni...
Designing agile locomotion for quadruped robots often requires extensive...
Previous work has shown that it is possible to train deep neural network...
Reinforcement learning is a proven technique for an agent to learn a tas...
Deep reinforcement learning is becoming increasingly popular for robot
c...
In this paper we propose a technique which avoids the evaluation of cert...
We present four training and prediction schedules from the same
characte...
Levering data on social media, such as Twitter and Facebook, requires
in...