Glossary

Monte Carlo Tree Search is a powerful decision-making algorithm using random sampling, simulation, and tree scanning to expertly navigate extensive decision spaces.

Model Explainability in AI is a key factor in making AI decisions reliable. It involves techniques for understanding and interpreting AI models’ actions for transparency and human comprehension.

Memory-Augmented Neural Networks (MANNs) refer to AI systems leveraging external memory, thus enhancing their capability to handle intricate tasks. These tasks revolve around long-term data dependencies, which surpass the capacity of regular neural networks.