Code for the Planning lab of Planning and Automated Reasoning course, MSc degree in Artificial Intelligence 2023/2024, University of Verona
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Download Anaconda for your System.
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Install Anaconda and Git:
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On Linux/Mac:
sh Anaconda{version}.sh
to install the Anaconda version chosen.- Could be necessary to update your .bashrc file writing this line: export PATH=~/anaconda3/bin:$PATH then save and close the .bashrc file.
- Open a terminal and digit:
source ~/.bashrc
- Install Git:
sudo apt-get install git
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On Windows:
- Double click the installer to launch.
- NB: during the installation, ensure to install "Anaconda Prompt" and use it for the other steps.
- Install Git: download here
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Setup Conda environment:
git clone https://github.com/vrncst/PlanningLab
conda env create -f tools/planning-lab-env.yml
To start the environment and work on your assignments, navigate to the downloaded folder root (Planning-Lab) and run:
conda activate planning-lab
jupyter notebook
The last command will open your browser for you to start working. To open the tutorial navigate with your browser to the current lesson notebook (Lesson_*/lesson_*_problem.ipynb).
- Celeste Veronese - [email protected]
- Alessandro Farinelli - [email protected]
Environments are based on OpenAI Gym: https://github.com/openai/gym
Material based on the previous version of the course, provided by Luca Marzari - [email protected]