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NIPS
2007
15 years 5 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
UAI
1998
15 years 5 months ago
Structured Reachability Analysis for Markov Decision Processes
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
Craig Boutilier, Ronen I. Brafman, Christopher W. ...
FUIN
2008
112views more  FUIN 2008»
15 years 4 months ago
A New Probabilistic Approach for Fractal Based Image Compression
Abstract. Approximation of an image by the attractor evolved through iterations of a set of contractive maps is usually known as fractal image compression. The set of maps is calle...
Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, B...
ADHOC
2005
116views more  ADHOC 2005»
15 years 4 months ago
Power efficient routing trees for ad hoc wireless networks using directional antenna
In ad hoc wireless networks, nodes are typically powered by batteries. Therefore saving energy has become a very important objective, and different algorithms have been proposed t...
Fei Dai, Qing Dai, Jie Wu
TPDS
2008
126views more  TPDS 2008»
15 years 4 months ago
Efficient Directional Network Backbone Construction in Mobile Ad Hoc Networks
In this paper, we consider the issue of constructing an energy-efficient virtual network backbone in mobile ad hoc networks (MANETs) for broadcasting applications using directiona...
Shuhui Yang, Jie Wu, Fei Dai