Sepsis Threatment through Reinforcement Learning Approach

From paper: "Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach"

Reinforcement Learning for optimal sepsis treatment policies applying Q-Learning and PO-MDP

Project originally developed with MATLAB for Data extraction and Jupyer Notebook for mmachine learning algorithms implementation

Part of the Project Proposal for Hernan Borre at University of Essex, Msc in Artificial Intelligence