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1. Testing-Wine-Quality Testing-Wine-Quality Public

   This project consists in using machine learning to analyze the factors that affect wine quality and in building a model for predicting it. The model was tested on unseen wines to evaluate its accur…

   Python

2. CHATBOT-encoder-decoder CHATBOT-encoder-decoder Public

   The objective of this project is to create a deep learning model trained to answer specific questions from various domains. This type of model is generally called a "chatbot".

   Python

3. TrackmaniaRL-AI TrackmaniaRL-AI Public

   AI agents for Trackmania using the TMRL package. Implemented DDPG, PPO, and used two SAC algorithms (with one or two critics) to train cars to navigate custom-built tracks.

   Python

4. TabularRL-StochasticWindyGridWorld TabularRL-StochasticWindyGridWorld Public

   Q-value iteration algorithm & ON-policy vs OFF-policy learning, introducing SARSA and Q-learning algorithms in the Stochastic Windy Grid environment

   Python

5. CartPole-DeepQLearning CartPole-DeepQLearning Public

   DQN agent with e-greedy / softmax policy, experience replay and target network.

   Python