This site is dedicated to the collection of resources of both learning and teaching automated planning and modeling techniques. Contributions are strongly encouraged, and can be done so by reaching out to one of the initiative chairs or submitting pull requests to this site directly [here].
Compiled and source course materials (please contact me for access to source materials).
|UniBasel AI Group||Misc AI and Planning Courses||Lecture Slides|
|Foundations of Artificial Intelligence (FAI) Group||Misc AI and Planning Courses||Lecture Slides||Planning Source
|Artificial Intelligence (CS) at PUCRS||Felipe Meneguzzi, Mauricio Magnaguagno, Leonardo Rosa Amado||Planning using Heuristic Search assignment focused on implementing the core functions of an automated planner.||Source Code|
|Pacman Capture the Flag in AI Courses||Nir Lipovetzky, Sebastian Sardina||Competition using the Berkley AI Pacman framework. Students use search algoithms, PDDL, classical replanning, minimax, etc. for their agents.||Competition
|ICAPS 2020 Summer School Plan Synthesis||Michael Cashmore||This training lab is an introduction to modelling planning problems using the Planning Domain Definition Language (PDDL).||Lab Details|
|UniMelb PDDL Assignments||Nir Lipovetzky||Example PDDL modelling assignments targetted to undergraduate AI courses.||Public Repo|
Online resources for learning/teaching planning and modeling.
Course work, honours project ideas, and general task ideas will be listed here soon.