Unlike basic Q-learning algorithms, which generally focus on finding the optimal path to maximize rewards, the modified bandit Q-learning algorithm aims to learn the optimal Q value for every ...

Introduction What is Q-learning? Q-learning is a type of reinforcement learning algorithm that teaches agents how to act in a given environment to maximise rewards over time.

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 ...

OpenAI Qstar algorithm Watch this video on YouTube. What makes the Q* algorithm particularly powerful is its combination of Q-learning with advanced pathfinding techniques.

Developing algorithms for solving high-dimensional partial differential equations (PDEs) has been an exceedingly difficult task for a long time, due to the notoriously difficult problem known as the ...