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ECAI
2010
Springer
15 years 7 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
192
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
CEC
2010
IEEE
15 years 6 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
ICASSP
2010
IEEE
15 years 6 months ago
Fast likelihood computation using hierarchical Gaussian shortlists
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
Xin Lei, Arindam Mandal, Jing Zheng
ICPR
2010
IEEE
15 years 6 months ago
A Constant Average Time Algorithm to Allow Insertions in the LAESA Fast Nearest Neighbour Search Index
Abstract—Nearest Neighbour search is a widely used technique in Pattern Recognition. In order to speed up the search many indexing techniques have been proposed. However, most of...
Luisa Micó, José Oncina