For example, decision tree-based learning algorithms, by nature, offer better explainability because the learned tree paths resemble the rules workflows with variables, which are familiar to ...

XGBoost (eXtreme Gradient Boosting) is a scalable, end-to-end, tree-boosting system ... the current word. Q-learning is a model-free, value-based, off-policy algorithm for reinforcement learning ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...