2011 search results - page 201 / 403 » Universal Reinforcement Learning |
142
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SMC
2007
IEEE
15 years 11 months ago
2007
IEEE
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
155
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FLAIRS
2008
15 years 7 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
159
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
149
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IBERAMIA
2010
Springer
15 years 3 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
147
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SFP
2003
15 years 6 months ago
2003
Abstract In distance learning the lack of direct communication between teachers and learners makes it difficult to provide direct assistance to students while they are solving the...