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ICML
2005
IEEE
14 years 8 months ago
Learning to compete, compromise, and cooperate in repeated general-sum games
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
Jacob W. Crandall, Michael A. Goodrich
EH
2002
IEEE
97views Hardware» more  EH 2002»
14 years 25 days ago
Coevolution of Form and Function in the Design of Micro Air Vehicles
This paper discusses approaches to cooperative coevolution of form and function for autonomous vehicles, specifically evolving morphology and control for an autonomous micro air v...
Magdalena D. Bugajska, Alan C. Schultz
CIS
2008
Springer
13 years 10 months ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...
GLOBECOM
2009
IEEE
14 years 2 months ago
Distributed Physical Carrier Sensing Adaptation Scheme in Cooperative MAP WLAN
Abstract— Recently a multiple access point (MAP) architecture is proposed for wireless local area networks (WLAN) to exploit the spatial diversity by permitting each user to asso...
Yao Hua, Qian Zhang, Zhisheng Niu
GLOBECOM
2008
IEEE
14 years 2 months ago
Channel Adaptive Encoding and Decoding Strategies and Rate Regions for the Three User Cooperative Multiple Access Channel
—For a cooperative Gaussian multiple access channel (MAC), we propose a new channel adaptive three user cooperation strategy, based on a non-trivial extension of block Markov sup...
Çagatay Edemen, Onur Kaya