1233 search results - page 188 / 247 » Reinforcement learning |
191
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LAMAS
2005
Springer
15 years 9 months ago
2005
Springer
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
128
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ECAI
2000
Springer
15 years 8 months ago
2000
Springer
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
123
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AAAI
2010
15 years 5 months ago
2010
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...
137
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NIPS
2008
15 years 5 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
133
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TSMC
2008
15 years 3 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...