7 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke +2
Path planning plays a crucial role in robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed.…
Generation of Paths in a Maze using a Deep Network without Learning
Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite +1
Trajectory- or path-planning is a fundamental issue in a wide variety of applications. Here we show that it is possible to solve path planning for multiple start- and end-points hi…
Transfer entropy-based feedback improves performance in artificial neural networks
Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter
The structure of the majority of modern deep neural networks is characterized by uni- directional feed-forward connectivity across a very large number of layers. By contrast, the a…