It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

An information-theoretic model correctly predicts that rats quickly learn an instrumental action despite a 16-min delay to reinforcement, challenging basic assumptions in reinforcement learning ...

Department of Bioengineering, University of Illinois, Urbana−Champaign, Illinois 61801, United States Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana−Champaign, ...

The teleoperated robotic system can support humans to complete tasks in high-risk, high-precision and difficult special environments. Because this kind of special working environment is easy to cause ...

@Misc{transferlearning.xyz, howpublished = {\url{http://transferlearning.xyz}}, title = {Everything about Transfer Learning and Domain Adapation}, author = {Wang ...

Sex-based modulation of cognitive processes could set the stage for individual differences in vulnerability to neuropsychiatric disorders. While value-based decision making processes in particular ...

First, neurophysiological evidence for the learning of invariant representations in the inferior temporal visual cortex is described. This includes object and face representations with invariance for ...

A curated list of machine learning papers, codes, libraries, and databases applied to fluid mechanics. This list is not comprehensive; if something is missing, please feel free to add it while ...