252 search results - page 33 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
138
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ATAL
2011
Springer
14 years 2 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
198
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CSL
2012
Springer
13 years 10 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
103
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
127
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JSAC
2010
15 years 1 months ago
2010
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
129
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LAMAS
2005
Springer
15 years 8 months ago
2005
Springer
Use of tags to limit partner selection for playing has been shown to produce stable cooperation in agent populations playing the Prisoner’s Dilemma game. There is, however, a lac...