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Deep Reinforcement Learning is a promising paradigm for robotic control which has been shown to be capable of learning policies for high-dimensional, continuous control of unmodeled systems. However, RoboticReinforcement Learning currently lacks clea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8865e5ac6d7a6af1f2b4d306a22323f
http://arxiv.org/abs/1909.09282
http://arxiv.org/abs/1909.09282
Autor:
Poultsides, George A.1, Lewis, W. Cannon1, Feld, Robert1, Walters, David L.1, Cherry, David A.1, Ruby, Steven T.1
Publikováno v:
American Surgeon. Oct2005, Vol. 71 Issue 10, p856-860. 5p. 1 Chart.
Autor:
Rokosh RS; Beth Israel Deaconess Medical Center and Harvard University., Lewis WC 2nd; Rice University., Chaikof EL; Beth Israel Deaconess Medical Center and Harvard University., Kavraki LE; Rice University.
Publikováno v:
NAM perspectives [NAM Perspect] 2021 Jun 07; Vol. 2021. Date of Electronic Publication: 2021 Jun 07 (Print Publication: 2021).