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Code from the Master's Thesis "Planning using Lifted Task Representations"

Corrêa, Augusto B.

Code of the planning System implemented for the Master's Thesis "Planning using Lifted Task Representations", University of Basel, 2019.

For a more recent version, please check the ICAPS 2020 source code and the Github repository.

 

This planner solves PDDL planning tasks using a lifted representation of the tasks (i.e., without grounding the tasks). The search component of the planner is based on techniques for conjunctive query resolution.

The compressed file contains the following files and directories:

  1.  README.md containing the instructions and options available in the planning system;
  2.  power-lifted.py, a script that builds and run the planner given a set of parameters and a planning task
  3.  src/ , the directory containing the source code of the planner. This directory has two other directories, translator and search, composing two different components of the planner.
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powerlifted.tar.gz
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