Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...

We demonstrate that the deep Q-network agent, receiving only the pixels and the game score as inputs, was able to surpass the performance of all previous algorithms and achieve a level comparable ...

Since the news of Q* broke, many researchers outside OpenAI have speculated about whether the name is a reference to other existing techniques within the field, such as Q-learning, a technique for ...

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.

The algorithm is designed to observe how well people with insulin-requiring diabetes respond to a particular insulin dose, and provide a recommended adjustment based on their body’s response.