4973 search results - page 916 / 995 » Probabilistic Algorithms in Robotics |
140
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NN
2010
Springer
15 years 2 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
152
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
134
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IANDC
2008
15 years 4 months ago
2008
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
159
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CP
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Interval-based methods can approximate all the real solutions of a system of equations and inequalities. The Box interval constraint propagation algorithm enforces Box co...
147
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CRV
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...