| dc.contributor |
Harvard University--MIT Division of Health Sciences and Technology |
|
| dc.contributor |
Poon, Chi-Sang |
|
| dc.contributor |
Rachmuth, Guy |
|
| dc.contributor |
Poon, Chi-Sang |
|
| dc.creator |
Mak, Terrence S. T. |
|
| dc.creator |
Lam, K. P. |
|
| dc.creator |
Ng, H. S. |
|
| dc.creator |
Rachmuth, Guy |
|
| dc.creator |
Poon, Chi-Sang |
|
| dc.date |
2010-03-15T19:54:22Z |
|
| dc.date |
2010-03-15T19:54:22Z |
|
| dc.date |
2007-06 |
|
| dc.date |
2007-05 |
|
| dc.date.accessioned |
2023-03-01T18:08:26Z |
|
| dc.date.available |
2023-03-01T18:08:26Z |
|
| dc.identifier |
1-4244-0920-9 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/52597 |
|
| dc.identifier |
Mak, T.S.T. et al. “A Current-Mode Analog Circuit for Reinforcement Learning Problems.” Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on. 2007. 1301-1304. © 2007 Institute of Electrical and Electronics Engineers |
|
| dc.identifier |
INSPEC Accession Number: 9539209 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/278901 |
|
| dc.description |
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 applications. This paper presents a current-mode analog circuit design for solving reinforcement learning problem with simple and efficient computational network architecture. The design has been fabricated and a new procedure to validate the fabricated reinforcement learning circuit will also be presented. This work provides a preliminary study for future biomedical application using CMOS VLSI reinforcement learning model. |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.publisher |
Institute of Electrical and Electronics Engineers |
|
| dc.relation |
http://dx.doi.org/10.1109/ISCAS.2007.378410 |
|
| dc.relation |
IEEE International Circuits and Systems, 2007 |
|
| dc.rights |
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. |
|
| dc.source |
IEEE |
|
| dc.title |
A Current-Mode Analog Circuit for Reinforcement Learning Problems |
|
| dc.type |
Article |
|
| dc.type |
http://purl.org/eprint/type/JournalArticle |
|