Skip to content

FilutaAI/synthesis-benchmarks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Domain Model Acquisition Benchmarks

This repository contains benchmark instances for evaluating planning action model learning algorithms.

In particular, it contains the benchmarks used in our paper "Planning Domain Model Acquisition from State Traces without Action Parameters," published at the Special Track on Reasoning, Learning, & Decision Making at the 21st International Conference on Knowledge Representation and Reasoning (KR-2024).

The most up-to-date version of the paper is avaliable here: https://arxiv.org/abs/2402.10726. Compared to KR-2024 version the experimental evaluation results in Table 2 have been updated.

About

This repository contains benchmark instances for evaluating planning action model learning algorithms.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages