185 citations · 286 across the 34 of their papers we have counts for
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cs.RO2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe, Lukas Krauch, Yapeng Gao +1
Reinforcement learning (RL) has achieved some impressive recent successes in various computer games and simulations. Most of these successes are based on having large numbers of ep…
cs.LG2020
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
Maximus Mutschler, Andreas Zell
A fundamental challenge in deep learning is that the optimal step sizes for update steps of stochastic gradient descent are unknown. In traditional optimization, line searches are…
cs.CV2020
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders
Hamd ul Moqeet Riaz, Nuri Benbarka, Andreas Zell
We present FourierNet, a single shot, anchor-free, fully convolutional instance segmentation method that predicts a shape vector. Consequently, this shape vector is converted into…