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Reinforcement learning with via-point representation

✍ Scribed by Hiroyuki Miyamoto; Jun Morimoto; Kenji Doya; Mitsuo Kawato


Book ID
103853650
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
201 KB
Volume
17
Category
Article
ISSN
0893-6080

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A novel neural network model is presented that learns by trial-and-error to reproduce complex sensory-motor sequences. One subnetwork, corresponding to the prefrontal cortex (PFC), is responsible for generating unique patterns of activity that represent the continuous state of sequence execution. A