170 search results - page 20 / 34 » Learning to play Tetris applying reinforcement learning meth... |
150
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IIE
2007
15 years 6 months ago
2007
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
162
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JAIR
2011
15 years 29 days ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
196
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
191
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ACG
2003
Springer
15 years 11 months ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
143
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PRICAI
2000
Springer
15 years 9 months ago
2000
Springer
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...