68 citations · 163 across the 6 of their papers we have counts for
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cs.LG2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
Matthew Praeger, Yunhui Xie, James A. Grant-Jacob +2
Reinforcement learning was carried out in a simulated environment to learn continuous velocity control over multiple motor axes. This was then applied to a real-world optical tweez…
eess.IV2020★ 16 cited
Modeling adult skeletal stem cell response to laser-machined topographies through deep learning
Benita S. Mackay, Matthew Praeger, James A. Grant-Jacob +4
The response of adult human bone marrow stromal stem cells to surface topographies generated through femtosecond laser machining can be predicted by a deep neural network. The netw…