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., Lam, K. P., Ng, H. S., Rachmuth, Guy, Poon, Chi-Sang |
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Other Authors: | Harvard University--MIT Division of Health Sciences and Technology |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
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Online Access: | http://hdl.handle.net/1721.1/52597 |
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