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LAMAS
2005
Springer
15 years 3 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
88
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 1 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
76
Voted
AUTOMATICA
2006
74views more  AUTOMATICA 2006»
14 years 9 months ago
Distributed receding horizon control for multi-vehicle formation stabilization
We consider the control of interacting subsystems whose dynamics and constraints are decoupled, but whose state vectors are coupled non-separably in a single cost function of a fi...
William B. Dunbar, Richard M. Murray
SIGECOM
2008
ACM
126views ECommerce» more  SIGECOM 2008»
14 years 9 months ago
Behavioral experiments in networked trade
We report on an extensive series of highly controlled human subject experiments in networked trade. Our point of departure is a simple and well-studied bipartite network exchange ...
J. Stephen Judd, Michael Kearns
NAR
2011
244views Computer Vision» more  NAR 2011»
14 years 4 months ago
PROMISCUOUS: a database for network-based drug-repositioning
The procedure of drug approval is time-consuming, costly and risky. Accidental findings regarding multispecificity of approved drugs led to block-busters in new indication areas. ...
Joachim von Eichborn, Manuela S. Murgueitio, Mathi...