Glossary

Reinforcement learning is a potent branch of machine learning, where software agents determine the ideal behavior within a context to maximize cumulative rewards. It encapsulates learning via trial and error, and interaction with its environment, which is instrumental in discovering the most rewarding actions.

The Recurrent Neural Network (Rnn) is an artificial neural network that excels in identifying patterns in sequential data like text, genomes, & spoken words.

The Qualification Problem refers to the difficulty in defining all essential preconditions for a specific action or result in real-world scenarios. Prepare thoroughly for uncertainty.