10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.AI2019★ 10 cited
HDDL -- A Language to Describe Hierarchical Planning Problems
D. Höller, G. Behnke, P. Bercher +4
The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but a…
cs.AI2019
Hierarchical Planning in the IPC
D. Höller, G. Behnke, P. Bercher +4
Over the last year, the amount of research in hierarchical planning has increased, leading to significant improvements in the performance of planners. However, the research is dive…
cs.CV2018
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning
Omar Mohammed, Gerard Bailly, Damien Pellier
How can we learn, transfer and extract handwriting styles using deep neural networks? This paper explores these questions using a deep conditioned autoencoder on the IRON-OFF handw…