Published March 3, 2023
| Version v1
Dataset
Open
Experimental Results for the AAAI 2023 Paper "Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains"
Authors/Creators
- 1. The Australian National University
Description
This is the collection of all experimental outputs described in the paper "Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains" by Songtuan Lin, Alban Grastien, and Pascal Bercher, accepted by AAAI 2023. A detailed explanation about the contents can be found in the README.md file.
Files
README.md
Files
(192.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:bc256a9b83fa80f5b65d1c16e86a7fb2
|
192.9 MB | Download |
|
md5:587ca59edb7ed9d9b4be9b2c9bb9bdad
|
6.4 kB | Preview Download |