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 ...

The familiar Q-learning algorithm 19 can be recovered in this framework by updating the weights after every time step, replacing the expectations using single samples, and setting ...

Q-learning is an algorithm that can be used to solve some types of RL problems. In this article I demonstrate how Q-learning can solve a maze problem. The best way to see where this article is headed ...