Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation

28 May 2017Ole-Christoffer Granmo

Bandit based optimisation has a remarkable advantage over gradient based approaches due to their global perspective, which eliminates the danger of getting stuck at local optima. However, for continuous optimisation problems or problems with a large number of actions, bandit based approaches can be hindered by slow learning... (read more)

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