Passionate about building models from scratch and optimizing complex systems through modeling and programming
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RL-algorithms
RL-algorithms PublicThis repository contains implementations of various reinforcement learning algorithms, including Q-Learning, Deep Q Networks (DQN), Policy Gradient methods, and more. Explore, learn, and apply thes…
Python
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Graph-models
Graph-models PublicGraphModels est un package Python dédié à l'optimisation des problèmes d'analyse combinatoire, de cheminement, d'ordonnancement et plus encore. Conçu pour les chercheurs en mathématiques appliquées…
Python
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Reinforcement-Learning-Challenge-Optimizing-Bandwidth-Allocation-for-Satellite-Broadband-Users
Reinforcement-Learning-Challenge-Optimizing-Bandwidth-Allocation-for-Satellite-Broadband-Users PublicThis repository features my solution for the DevFest '24 Challenge by @GDGAlgiers , where I used Proximal Policy Optimization (PPO) to optimize bandwidth allocation based on user demands over 24 ho…
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