377 search results - page 41 / 76 » Explanation-Based Neural Network Learning for Robot Control |
116
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NN
2010
Springer
15 years 9 days 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...
122
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GECCO
2010
Springer
15 years 5 months ago
2010
Springer
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
132
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NN
1998
Springer
15 years 1 months ago
1998
Springer
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...
107
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AUSAI
1999
Springer
15 years 6 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
IPPS
1998
IEEE
15 years 6 months ago
1998
IEEE
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...