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.

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 develop methodology for a multistage decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring. We present a novel Q-learning algorithm ...

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 ...

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 ...

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.