554 citations · 1.1k across the 56 of their papers we have counts for
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cs.RO2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
Reza Mahjourian, Risto Miikkulainen, Nevena Lazic +2
Training robots with physical bodies requires developing new methods and action representations that allow the learning agents to explore the space of policies efficiently. This wo…
q-bio.QM2018
Peptide-Spectra Matching from Weak Supervision
Samuel S. Schoenholz, Sean Hackett, Laura Deming +8
As in many other scientific domains, we face a fundamental problem when using machine learning to identify proteins from mass spectrometry data: large ground truth datasets mapping…