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AAAI
2000
15 years 1 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
CGF
2008
94views more  CGF 2008»
14 years 12 months ago
Statistical optimization of octree searches
This work emerged from the following observation: usual search procedures for octrees start from the root to retrieve the data stored at the leaves. But since the leaves are the fa...
Rener Castro, Thomas Lewiner, Hélio Lopes, ...
COMMA
2008
15 years 1 months ago
Focused search for Arguments from Propositional Knowledge
Abstract Classical propositional logic is an appealing option for modelling argumentation but the computational viability of generating an argument is an issue. Here we propose ame...
Vasiliki Efstathiou, Anthony Hunter
IPPS
2007
IEEE
15 years 6 months ago
Optimized Inverted List Assignment in Distributed Search Engine Architectures
We study efficient query processing in distributed web search engines with global index organization. The main performance bottleneck in this case is due to the large amount of i...
Jiangong Zhang, Torsten Suel
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 5 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman