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 ...

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 ...

A* is also fairly old- it’s a heuristic-based path finding algorithm. In typical engineering fashion, they may have found an intersection of the 2 and named it Q*. This is total speculation, but if ...

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 propose for risk-sensitive control of finite Markov chains a counterpart of the popular Q-learning algorithm for classical Markov decision processes. The algorithm is shown to converge with ...

To put these approaches into practice, researchers use a variety of exotic-sounding algorithms, from kernel machines to Q-learning. But since the 2010s, artificial neural networks have taken center ...