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» Problems of learning in multi-agent systems
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ICML
2009
IEEE
16 years 1 months ago
Interactively optimizing information retrieval systems as a dueling bandits problem
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
Yisong Yue, Thorsten Joachims
115
Voted
ICCS
2009
Springer
14 years 10 months ago
Bending Virtual Spring-Damper: A Solution to Improve Local Platoon Control
This article presents a local control approach to linear vehicle platooning. Linear platoon systems are sets of vehicles that use local or global perception capabilities to form a ...
Jean-Michel Contet, Franck Gechter, Pablo Gruer, A...
FGCS
2007
160views more  FGCS 2007»
15 years 13 days ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
ATAL
2006
Springer
15 years 4 months ago
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Ma...
TE
2010
76views more  TE 2010»
14 years 7 months ago
Problem-Based Learning in Communication Systems: Student Perceptions and Achievement
The paper presents a curriculum design for, and subsequent evaluation of, a communications systems course using problem-based learning (PBL) as the instructional methodology. It de...
John E. Mitchell, Brian Canavan, Jan Smith