A Current-Mode Analog Circuit for Reinforcement Learning Problems
Reinforcement learning is important for machine-intelligence and neurophysiological modelling applications to provide time-critical decision making. Analog circuit implementation has been demonstrated as a powerful computational platform for power-efficient, bio-implantable and real-time application...
Main Authors: | Mak, Terrence S. T. (Author), Lam, K. P. (Author), Ng, H. S. (Author), Rachmuth, Guy (Contributor), Poon, Chi-Sang (Contributor) |
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Other Authors: | Harvard University- (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2010-03-15T19:54:22Z.
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Subjects: | |
Online Access: | Get fulltext |
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