most citedLearning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

math.NT2024

The standard -function attached to a vector valued modular form

Oliver Stein

We define two -functions associated to a common vector valued eigenform transforming with the ``finite'' Weil representation. The first one can be seen as a standard zeta fu…

math.NT2023★ 1 cited

A converse theorem for Borcherds products and the injectivity of the Kudla-Millson theta lift

Oliver Stein

We prove a converse theorem for the multiplicative Borcherds lift for lattices of square-free level whose associated discriminant group is anisotropic. This can be seen as generali…

cs.LG2023★ 5 cited

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

Jan Kaiser, Chenran Xu, Annika Eichler +9

Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly ex…