10 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version
Timo P. Gros, Daniel Höller, Jörg Hoffmann +1
Learning-based approaches for solving large sequential decision making problems have become popular in recent years. The resulting agents perform differently and their characterist…
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…