Tarski is a framework for the specification, modeling and manipulation of AI planning problems. Tarski is written in Python and includes parsers for major modeling languages (e.g., PDDL, FSTRIPS, RDDL), along with modules to perform other common tasks such as logical transformations, reachability analysis, grounding of first-order representations and problem reformulations.
Installation: Check the installation instructions.
Documentation: Read the documentation of the project.
Testing: Most tests can be run by executing pytest on the root directory.
Alternatively, they can be run through tox, for which several testing environments are defined.
If you find tarski useful in your research, you can cite it with the following bibtex entry:
@misc{tarski:github:18,
author = {Guillem Franc\'{e}s and Miquel Ramirez and Collaborators},
title = {Tarski: An {AI} Planning Modeling Framework},
year = {2018},
publisher = {{GitHub}},
journal = {{GitHub} repository},
howpublished = {\url{https://github.com/aig-upf/tarski}}
}
Tarski is licensed under the Apache-2.0 License.