Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
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Updated
Mar 24, 2023 - Python
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
Projects from Udacity's Artificial Intelligence Nanodegree (August 2017 cohort) - TERM 1.
Code to read and analyse Planning graph, including GrapPlan Planner available at http://www.cs.cmu.edu/~avrim/graphplan.html
This repository contains a Forward Planning Agent & multiple algorithms in Python.
Defining and solving classical problems in PDDL (Planning Domain Definition Language)
My solutions to the projects assigned for the Udacity Artificial Intelligence Nanodegree
solve deterministic logistics planning problems for an Air Cargo transport system using a planning search agent
Term 1 Project 2 Implement a Planning Search by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
Domain independent planner
Project: Implement a Planning Search | Artificial Intelligence Nanodegree | Udacity
In Artificial Intelligence Planning, there are different types of planning, and this problem is an example of Classical Planning.
Udacity AI Nanodegree's Project for implementing a Planning search. This project uses multiple search algorithms to solve a planning problem and then analyses the results based on certain metrics to find the best heuristic.
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