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» Relational Reinforcement Learning
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114
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DM
2008
139views more  DM 2008»
15 years 3 months ago
On domination and reinforcement numbers in trees
The reinforcement number of a graph is the smallest number of edges that have to be added to a graph to reduce the domination number. We introduce the k-reinforcement number of a ...
Jean R. S. Blair, Wayne Goddard, Stephen T. Hedetn...
IJCAI
2003
15 years 5 months ago
Simultaneous Adversarial Multi-Robot Learning
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
Michael H. Bowling, Manuela M. Veloso
133
Voted
ROBOCUP
2007
Springer
167views Robotics» more  ROBOCUP 2007»
15 years 9 months ago
Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Kentarou Noma, Yasutake Takahashi, Minoru Asada
131
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MMM
2005
Springer
152views Multimedia» more  MMM 2005»
15 years 9 months ago
Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns
We propose a novel semantic video summarization framework, which generates video skimmings that guarantee both the balanced content coverage and the visual coherence. First, we co...
Shi Lu, Michael R. Lyu, Irwin King
156
Voted
COLING
2010
14 years 10 months ago
Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to Multi-Document Summarization
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. In this field, sentence ranking has hitherto been ...
Xiaoyan Cai, Wenjie Li, Ouyang You, Hong Yan