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JMLR
2008
92views more  JMLR 2008»
15 years 2 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
CIKM
2009
Springer
15 years 3 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
ATAL
2007
Springer
15 years 8 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
172
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HRI
2011
ACM
14 years 5 months ago
A robotic game to evaluate interfaces used to show and teach visual objects to a robot in real world condition
In this paper, we present a real world user study of 4 interfaces designed to teach new visual objects to a social robot. This study was designed as a robotic game in order to mai...
Pierre Rouanet, Fabien Danieau, Pierre-Yves Oudeye...
134
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WWW
2004
ACM
16 years 2 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky