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JMLR
2006
153views more  JMLR 2006»
13 years 8 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
DSS
2002
82views more  DSS 2002»
13 years 8 months ago
On the discovery of process models from their instances
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...
San-Yih Hwang, Wan-Shiou Yang
NETWORKS
2010
13 years 6 months ago
Fixed-parameter tractability results for full-degree spanning tree and its dual
We provide first-time fixed-parameter tractability results for the NP-complete problems Maximum Full-Degree Spanning Tree and Minimum-Vertex Feedback Edge Set. These problems are...
Jiong Guo, Rolf Niedermeier, Sebastian Wernicke
SIAMCOMP
2010
97views more  SIAMCOMP 2010»
13 years 6 months ago
Designing Network Protocols for Good Equilibria
Designing and deploying a network protocol determines the rules by which end users interact with each other and with the network. We consider the problem of designing a protocol t...
Ho-Lin Chen, Tim Roughgarden, Gregory Valiant
CVPR
2011
IEEE
13 years 4 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell