146 search results - page 17 / 30 » Decentralized Reinforcement Learning Control of a Robotic Ma... |
AR
2004
13 years 7 months ago
2004
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...