Search Results for author:
Found 3 papers, 0 papers with code
A Categorical Representation Language and Computational System for Knowledge-Based Planning
We show that our proposed representation has advantages over the classical representation in terms of handling implicit preconditions and effects, and provides a more structured framework in which to model and solve planning problems.
Encoding Compositionality in Classical Planning Solutions
The approach of this paper is to view the actions as maps between literals and the selected plan as a composition of those maps.
Compressing GANs using Knowledge Distillation
From our experiments, we observe a qualitative limit for GAN's compression.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
