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

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 ...

In contrast to the Q-learning algorithm in which nonregular inference is involved, we show that, under assumptions adopted in this paper, the proposed smoothed Q-learning estimator is asymptotically ...