Skip to content

A. Cropper and S.H. Muggleton. Learning efficient logical robot strategies involving composable objects. IJCAI 2015.

Notifications You must be signed in to change notification settings

andrewcropper/ijcai15-compobj

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This repository contains the code used in the experiments for the following paper:

A. Cropper and S.H. Muggleton. Learning efficient logical robot strategies involving composable objects. In Proceedings of the 24th International Joint Conference Artificial Intelligence (IJCAI 2015), pages 3423-3429. IJCAI, 2015.

We used SWI-Prolog, Version 6.6.x for all experiments.

To reproduce the postman results in Fig. 4 and the sorter results in Fig. 6, go to the respective subdirectory and run the run-metagold.bash and run-metagolo.bash bash files. The associated learned programs and test results are stored in the subdirectories results-metagold and results-metagolo.

One can calculate output for the plots using the results.py file.

Note that each experiment take a very long time to run, in excess of 24 hours. This is a limitation of the approach, which we intend to rectify in future work.

Contact a.cropper13@imperial.ac.uk with any queries.

About

A. Cropper and S.H. Muggleton. Learning efficient logical robot strategies involving composable objects. IJCAI 2015.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published