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ICML
2006
IEEE
14 years 4 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
14 years 2 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
AAAI
2000
13 years 11 months ago
Visual Event Classification via Force Dynamics
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...
Jeffrey Mark Siskind
COLING
2000
13 years 11 months ago
A Dynamic Language Model Based on Individual Word Domains
We present a new statistical language model based on a Colnbination of individual word language models. Each word model is built from an individual corpus which is formed by extra...
Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith
JNW
2006
148views more  JNW 2006»
13 years 10 months ago
An Energy Efficient Approach to Dynamic Coverage in Wireless Sensor Networks
Tracking of mobile targets is an important application of sensor networks. This is a non-trivial problem as the increased accuracy of tracking results in an overall reduction in th...
Mohamed Khalil Watfa, Sesh Commuri