The objective is to create a reliable and accurate predictive model to identify individuals at risk of developing drug addiction. A range of machine learning algorithms, including logistic regression, ...

Instead of relying on a single neuron, the brain uses the pattern of activity across many neurons to encode information to reach a decision.

In this work, we propose a novel optimization approach to interpretable RL that builds decision trees. While techniques that optimize decision trees for RL do exist, they usually employ greedy ...