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renforcement-learning

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onimind

Ce projet a pour ambition de concevoir un agent artificiel basé sur un réseau de neurones capable d'apprendre à jouer à Onitama. L'objectif final est d'obtenir un agent compétitif, capable de rivaliser avec un joueur humain averti, en ayant développé par lui-même des stratégies cohérentes et efficaces propres à la complexité tactique d'Onitama.

  • Updated Apr 18, 2026
  • Jupyter Notebook

This repository contains the code and report for the final evaluation of the Deep Learning Applications module. It includes three exercises on Convolutional Neural Networks (CNNs), Reinforcement Learning, and Adversarial Training. Each exercise is designed to showcase different aspects of deep learning techniques and their applications.

  • Updated Jul 25, 2024
  • Jupyter Notebook

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