Reinforcement Learning

Multi-fidelity Bayesian optimisation

Posted on January 24, 2020 by Tamas Papp Optimisation Statistical Learning

Say you’re a robotics researcher and you want to find the best path for a robot to take in order to perform some tasks. Unless your course is very simple, you’ll probably have to fiddle with some parameters in order to achieve this with confidence, and so you’ve decided to...

Bayesian optimisation

Posted on January 7, 2020 by Tamas Papp Optimisation Statistical Learning

I had the chance to approach a series of statistical learning methods during the first MRes topic sprint. One of them was Bayesian optimisation, a technique for efficient global optimization of functions that can be evaluated but have an unknown structure. It turns out that in fields such as robotics,...