UniVR-AI

UniVR-AI is a repository containing the code of the artificial intelligence course of the University of Verona. This project includes various modules for search algorithms, Markov decision processes, machine learning, and reinforcement learning.

Project Structure

The project is structured as follows:

• data/: project data:
  • dnn/: data for deep neural networks;
• envs/: environments for reinforcement learning;
  • collections/: collections of environments types;
• inc/: includes various support modules:
  • ai/: artificial intelligence functions;
  • collections/: collection of types;
  • constants/: constants used in the project;
  • graphics/: graphics functions;
  • types/: data types used in the project;
  • utils/: various utilities;
• src/: main source code:
  • machine_learning/: machine learning algorithms;
  • markov_decision_processes/: Markov decision processes algorithms;
  • reinforcement_learning/: reinforcement learning algorithms;
  • search/: search algorithms;
• tests/: tests for various modules.

Requirements

To install the project requirements, run:

pip install -r requirements.txt

Setup

To setup the project, set the following environment variables:

• TF_CPP_MIN_LOG_LEVEL = 1: to disable TensorFlow warnings;
• TF_ENABLE_ONEDNN_OPTS = 1: to enable oneDNN optimizations.

Usage

In test folder you can find some examples of how to use the modules of the project.

License

This project is licensed under the MIT License. See the LICENSE.md file for details.

Contributing

Contributions are welcome! Please open an issue or a pull request to discuss any changes.

Authors

• Lecini Rustem