The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...

Q-learning is a type of reinforcement learning algorithm that teaches agents how to act in a given environment to maximise rewards over time. It uses a simple but powerful idea: learn from ...

Q: What technologies underlie Uber’s machine learning? Lange: We offer about 10 different algorithms, including boosted trees, linear learners and neural networks.

By combining reinforcement learning (selecting actions that maximize reward — in this case the game score) with deep learning (multilayered feature extraction from high-dimensional data — in ...

After presenting an overview of the historical and theoretical underpinnings of Q, several examples are provided to illustrate Q’s potential to improve design within the field of learning, design, and ...

The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...