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ICML
2002
IEEE
16 years 8 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
CVPR
2003
IEEE
16 years 9 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
16 years 18 days ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 18 days ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
ATAL
2008
Springer
15 years 9 months ago
Decentralised coordination of low-power embedded devices using the max-sum algorithm
This paper considers the problem of performing decentralised coordination of low-power embedded devices (as is required within many environmental sensing and surveillance applicat...
Alessandro Farinelli, Alex Rogers, Adrian Petcu, N...