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Reinforcement Learning in Medical Decisions by Poojasri Boopathi is a document available to read on EtoBox.

What is Reinforcement Learning in Medical Decisions about?

The document outlines a simulation of a reinforcement learning algorithm using Q-learning for medical treatment decision-making, implemented in MATLAB. It details the procedure for initializing states, actions, and a Q-table, as well as the process of updating the Q-table through exploration and exploitation over 1000 episodes. The final output includes the learned Q-table and a plot of cumulative rewards, demonstrating the effectiveness of the algorithm in improving decision-making strategies.

Author

Poojasri Boopathi

Language

EN