Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Craig Sherstan"'
Autor:
Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski
Publikováno v:
Neural Computing and Applications.
In this work, we present a perspective on the role machine intelligence can play in supporting human abilities. In particular, we consider research in rehabilitation technologies such as prosthetic devices, as this domain requires tight coupling betw
Autor:
Franziska Eckert, James MacGlashan, Kenta Kawamoto, Michael Spranger, Hiroaki Kitano, Varun Raj Kompella, Michael Thomure, Craig Sherstan, Leilani Gilpin, Rory Douglas, Takuma Seno, Peter R. Wurman, Florian Fuchs, Peter Stone, Roberto Capobianco, Houmehr Aghabozorgi, Alisa Devlic, Peter Durr, Dion Whitehead, Samuel Barrett, Leon Barrett, Patrick MacAlpine, HaoChih Lin, Piyush Khandelwal, Kaushik Subramanian, Declan Oller, Tom Walsh
The authors have requested that this preprint be removed from Research Square.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe59ead6e8492a51c892c659cb391aa5
https://doi.org/10.21203/rs.3.rs-795954/v1
https://doi.org/10.21203/rs.3.rs-795954/v1
Autor:
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Publikováno v:
Nature. 602(7896)
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical ma
Publikováno v:
AAAI
We present $\Gamma$-nets, a method for generalizing value function estimation over timescale. By using the timescale as one of the estimator's inputs we can estimate value for arbitrary timescales. As a result, the prediction target for any timescale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eee2d3a5111a3c32d016984ed70bf42
http://arxiv.org/abs/1911.07794
http://arxiv.org/abs/1911.07794
Publikováno v:
IROS
Here we propose using the successor representation (SR) to accelerate learning in a constructive knowledge system based on general value functions (GVFs). In real-world settings like robotics for unstructured and dynamic environments, it is infeasibl
Autor:
Patrick M. Pilarski, Craig Sherstan
Publikováno v:
BioRob
Advanced neuroprosthetic devices demonstrate an impressive capacity for both actuation and sensation, providing numerous controllable degrees of freedom and reportable sensory percepts. When linked to the human body by way of invasive and non-invasiv
Publikováno v:
Artificial General Intelligence ISBN: 9783319416489
AGI
AGI
Agents of general intelligence deployed in real-world scenarios must adapt to ever-changing environmental conditions. While such adaptive agents may leverage engineered knowledge, they will require the capacity to construct and evaluate knowledge the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d30a2c2cd6fe292c00fb06593c9c11a
https://doi.org/10.1007/978-3-319-41649-6_26
https://doi.org/10.1007/978-3-319-41649-6_26
Publikováno v:
2015 IEEE International Conference on Rehabilitation Robotics (ICORR).
We have developed a real-time machine learning approach for the collaborative control of a prosthetic arm. Upper-limb amputees are often extremely limited in the number of inputs they can provide to their prosthetic device, typically controlling only
Autor:
Michael R. Dawson, Patrick M. Pilarski, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Jacqueline S. Hebert, K. Ming Chan
Publikováno v:
Prosthetics and orthotics international. 40(5)
Myoelectric prostheses currently used by amputees can be difficult to control. Machine learning, and in particular learned predictions about user intent, could help to reduce the time and cognitive load required by amputees while operating their pros
Publikováno v:
Physical Review B. 76
Terahertz time-domain spectroscopy is used to measure the complex conductivity of nanometer-thick gold films evaporated on silicon substrates in the far-infrared spectral region from $0.2\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}