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GECCO
2004
Springer
15 years 12 months ago
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
Tadahiko Murata, Takashi Nakamura
PERCOM
2010
ACM
15 years 10 months ago
Ad-hoc voice-based group communication
Abstract—People waste many hours driving each day. Although unavoidable, this time can be very boring to motorists. Similar to people taking mass transit who often pass the time ...
Lu Han, Stephen Smaldone, Pravin Shankar, James Bo...
ATAL
2010
Springer
15 years 7 months ago
Aggregation-mediated collective perception and action in a group of miniature robots
We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable agents, and destroy them. Because miniaturized robots are usually end...
Grégory Mermoud, Loïc Matthey, William...
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 6 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
ISBI
2011
IEEE
14 years 10 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...