We presented at the European Conference on Artificial Intelligence (ECAI) our work “An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms”. Our approach employs Bayesian optimisation in an on-line way to dynamically adapt the hyper-parameters of multi-arm bandit algorithms. We are interested in uncertain and dynamic environments, such as on-line web server optimisation. Our paper can be found here, and our source code is on Github.