Glossary

A reinforcement learning algorithm, Q Learning, calculates the ‘quality’ or value of actions, aiding in achieving future rewards. Ideal for handling stochastic transition and increased reward problems.

Explore the role of a quantifier in machine learning. It uses supervised learning to predict class distribution in datasets, enabling crucial data analysis.

Proximal Policy Optimization (PPO) is an advanced reinforcement learning algorithm ensuring effective interaction with environments by maximizing expected rewards and controlling policy divergence.

Python is a high-level, versatile programming language, celebrated for its clear syntax and readability. Incredibly popular in artificial intelligence applications for its user-friendly features.

Propositional calculus is a logical branch exploring propositions’ interactions. Crucial for mathematical logic, it’s also known as statement or sentential logic.

The principle of rationality is a key concept in AI, advising agents to base decisions on logic, evidence, and objectives for rational choices, mitigating biases and randomness.