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» Model-Based Reinforcement Learning in a Complex Domain
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ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 10 days ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 5 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
COGSR
2010
149views more  COGSR 2010»
13 years 21 days ago
Cognitive concepts in autonomous soccer playing robots
Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of c...
Martin Lauer, Roland Hafner, Sascha Lange, Martin ...
AAMAS
2005
Springer
13 years 5 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
SIGDIAL
2010
13 years 3 months ago
Sparse Approximate Dynamic Programming for Dialog Management
Spoken dialogue management strategy optimization by means of Reinforcement Learning (RL) is now part of the state of the art. Yet, there is still a clear mismatch between the comp...
Senthilkumar Chandramohan, Matthieu Geist, Olivier...