Q-learning is an algorithm that can be used to solve some types of RL problems ... matrix which defines the feasibility of moving from one cell/state to another. For example, F[7][12] = 1 means you ...

Q-learning is a model-free, value-based, off-policy algorithm for reinforcement learning ... to extract features from video frames, for example for teaching a computer to play video games or ...

such as Q-learning, a technique for training AI algorithms through trial and error, and A*, an algorithm for searching through a range of options to find the best one. The OpenAI spokesperson ...

Looking at a "potential photonic implementation," the authors developed a modified bandit Q-learning algorithm and validated its effectiveness through numerical simulations. They also tested their ...