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Generalization Learning in a Perceptron with Binary Synapses

โœ Scribed by Carlo Baldassi


Publisher
Springer
Year
2009
Tongue
English
Weight
745 KB
Volume
136
Category
Article
ISSN
0022-4715

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## Abstract A discrete state space is often the subject of conventional reinforcement learning; continuous states must be discretized in order to be handled with conventional learning methods. However, simple discretization increases the state dimensionality and results in an exponential increase i