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ICML
2001
IEEE
16 years 4 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
TIME
2002
IEEE
15 years 8 months ago
Applying Local Search to Temporal Reasoning
Local search techniques have attracted considerable interest in the Artificial Intelligence (AI) community since the development of GSAT [9] and the min-conflicts heuristic [5] ...
John Thornton, Matthew Beaumont, Abdul Sattar, Mic...
119
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HICSS
2005
IEEE
131views Biometrics» more  HICSS 2005»
15 years 9 months ago
Train Traffic Deviation Handling Using Tabu Search and Simulated Annealing
This paper addresses the problem of solving conflicts in railway traffic that arise due to disturbances. It is formulated as a problem of re-scheduling meets and overtakes of trai...
Johanna Törnquist, Jan A. Persson
JMLR
2006
80views more  JMLR 2006»
15 years 3 months ago
Large Scale Transductive SVMs
We show how the concave-convex procedure can be applied to transductive SVMs, which traditionally require solving a combinatorial search problem. This provides for the first time ...
Ronan Collobert, Fabian H. Sinz, Jason Weston, L&e...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 9 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart