5 search results - page 1 / 1 » Hierarchical Apprenticeship Learning with Application to Qua... |
NIPS
2007
13 years 6 months ago
2007
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— Legged robots have the potential to navigate a much larger variety of terrain than their wheeled counterparts. In this paper we present a hierarchical control architecture that...
IJRR
2011
12 years 11 months ago
2011
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
ICRA
2006
IEEE
13 years 10 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...