Abstract: In Bayesian optimization, a black-box function is maximized via the use of a surrogate model. We apply distributed Thompson sampling, using a Gaussian process as a surrogate model, to ...
Abstract: We study the problem of learning to play a repeated multi-player game with an unknown reward function and bandit feedback. The central challenge arises from the need to balance exploration ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results