Sciweavers

111 search results - page 15 / 23
» Reinforcement Learning for Operational Space Control
Sort
View
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
AROBOTS
1998
111views more  AROBOTS 1998»
13 years 7 months ago
Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction
This paper discusses the emergence of sensorimotor coordination for ESCHeR, a 4DOF redundant foveated robot-head, by interaction with its environment. A feedback-error-learning(FEL...
Luc Berthouze, Yasuo Kuniyoshi
DIS
2009
Springer
14 years 1 months ago
OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
Abstract. Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) boilers. If control systems fail to compensate the ï¬...
Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
14 years 1 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
ICANN
2005
Springer
14 years 27 days ago
Evolving Modular Fast-Weight Networks for Control
Abstract. In practice, almost all control systems in use today implement some form of linear control. However, there are many tasks for which conventional control engineering metho...
Faustino J. Gomez, Jürgen Schmidhuber