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ATAL
2006
Springer
15 years 7 months ago
False-name-proof combinatorial auction protocol: Groves Mechanism with SubModular Approximation
This paper develops a new combinatorial auction protocol called the Groves Mechanism with SubModular Approximation (GM-SMA). This protocol satisfies the following characteristics:...
Makoto Yokoo, Toshihiro Matsutani, Atsushi Iwasaki
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 6 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
ICML
1994
IEEE
15 years 6 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
ESANN
2004
15 years 4 months ago
A Modular Framework for Multi category feature selection in Digital mammography
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
Ranadhir Ghosh, Moumita Ghosh, John Yearwood
SCS
2001
15 years 4 months ago
High Level Failure Analysis for Integrated Modular Avionics
Integrated Modular Avionics (IMA) is the term used for a common computer network aboard an aircraft. In order to gain full benefit from this technology a strategy is required to a...
Philippa Conmy, John A. McDermid