Misha Laskin (UC Berkeley) · Kimin Lee (UC Berkeley) · Adam Stooke (UC Berkeley) · Lerrel Pinto (New York University) · Pieter Abbeel (UC Berkeley & covariant.ai) · Aravind Srinivas (UC Berkeley) 6、Reinforcement Learningwith Combinatorial Actions: An Application to Vehicle Routing Arthu...
It is constrained by a designed loss function as auxiliary supervised information, so that the learning of each local feature does not need extra annotations. The label distribution module is used to predict the label distribution of a given unlabeled sample, and we use the local features to ...
Process-constrained batch Bayesian optimisation. Pratibha Vellanki Santu Rana Sunil Gupta David Rubin Alessandra Sutti Thomas Dorin Murray Height Paul G. Sanders Svetha Venkatesh 原文链接 谷歌学术 必应学术 百度学术 ExtremeWeather: A large-scale climate dataset for semi-supervised detection, ...