Sciweavers

81 search results - page 13 / 17
» Neuroevolutionary reinforcement learning for generalized hel...
Sort
View
JCM
2006
95views more  JCM 2006»
14 years 9 months ago
A Learning-based Adaptive Routing Tree for Wireless Sensor Networks
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
Ying Zhang, Qingfeng Huang
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 4 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
ICMLA
2004
14 years 10 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
84
Voted
ICCS
1993
Springer
15 years 1 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
97
Voted
AINA
2006
IEEE
15 years 1 months ago
Constrained Flooding: A Robust and Efficient Routing Framework for Wireless Sensor Networks
Flooding protocols for wireless networks in general have been shown to be very inefficient and therefore are mainly used in network initialization or route discovery and maintenan...
Ying Zhang, Markus P. J. Fromherz