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Optimisation of colour generation from dielectric nanostructures using reinforcement learning
2019
Optics Express
Recently, a novel machine learning model has emerged in the field of reinforcement learning known as deep Q-learning. This model is capable of finding the best possible solution in systems consisting of millions of choices, without ever experiencing it before, and has been used to beat the best human minds at complex games such as, Go and chess, which both have a huge number of possible decisions and outcomes for each move. With a human-level intelligence, it has solved the problems that no
doi:10.1364/oe.27.005874
fatcat:w7k23j3nb5apleqpiiktyffusa