Tarski is a framework for the specification, modeling and manipulation of AI planning problems.
Tarski - An AI Planning Modeling Framework
What is Tarski
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 common tasks such as reachability analysis and grounding of first-order representations.
You can install the latest Tarski release with
pip install tarski
If instead you want to use the latest code available on the Github repository, use
pip install -U git+https://github.com/aig-upf/tarski.git
If developing Tarski, we recommend cloning from the Github repository and doing a dev installation
-e flag for
pip) on a virtual environment:
git clone https://github.com/aig-upf/tarski cd tarski pip install -e .
This will install the project in "editable mode", meaning that any modification to the files is immediately reflected in the installed library.
All of Tarski's tests live under the
tests directory (shocking!).
To run them, you just need to run
pip install pytest) on the root directory.
You can also run
pip install tox) to have some additional checks (e.g., style checks) run.
Tarski requires Python >= 3.5.
The above installation instructions will install transparently for you a number of additional dependencies, among which
At the moment, Tarski is able to parse problems specified in PDDL, Functional STRIPS and RDDL,
but (1) parsing of derived predicates is not supported yet, and (2)
either keyword for defining compound types is not supported, and it is unlikely it will ever be.
Additionally, and for compatibility reasons with old standard benchmarks, the parser represents all predicate,
function (including constants) and PDDL types (i.e. FOL sorts) in lowercase.
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