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ICML
2001
IEEE
16 years 7 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
WABI
2009
Springer
130views Bioinformatics» more  WABI 2009»
16 years 1 months ago
Linear-Time Protein 3-D Structure Searching with Insertions and Deletions
It becomes more and more important to search for similar structures from molecular 3-D structure databases in the structural biology of the post genomic era. Two molecules are said...
Tetsuo Shibuya, Jesper Jansson, Kunihiko Sadakane
SAT
2009
Springer
91views Hardware» more  SAT 2009»
16 years 1 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
IROS
2006
IEEE
97views Robotics» more  IROS 2006»
16 years 19 days ago
Probabilistic Search for a Moving Target in an Indoor Environment
– We consider a search for a target moving within a known indoor environment partitioned into interconnected regions of varying sizes. The knowledge of target location is describ...
Haye Lau, Shoudong Huang, Gamini Dissanayake
IJCAI
1989
15 years 7 months ago
Constrained Heuristic Search
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Mark S. Fox, Norman M. Sadeh, Can A. Baykan