847 search results - page 129 / 170 » Learning Action Selection Network of Intelligent Agent |
145
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ECAI
2010
Springer
14 years 11 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
122
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AINA
2007
IEEE
15 years 2 months ago
2007
IEEE
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
112
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JUCS
2007
15 years 1 months ago
2007
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
121
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AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
15 years 3 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
127
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AAMAS
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. Multiagent cooperative negotiation is a promising technique for modeling and controlling complex systems. Effective and flexible cooperative negotiations are especially...