Our paper on Uncoupled Learning of Differential Stackelberg Equilibria with Commitments has been accepted for publication at AAMAS. Congratulations, Robert and Mert!
Preprint is accessible here.
PhD positions on machine learning for fintech
At Amlab, we have two open PhD positions on machine learning in the fintech domain (in collaboration with Adyen). One student will work with Sara Magliacane on causal machine learning, and the second student will work with me on reinforcement learning. Deadline for applications is March 11th. For all details and how to apply, please see the official vacancy.
PhD position on reinforcement learning for controlling critical infrastructure
We are looking for a PhD candidate to work on several fundamental questions necessary for allowing AI methods to support human operators in critical infrastructure. For example, can machine learning tools be combined with conventional optimisers to improve safety and data efficiency? Can complex, structured decisions be made jointly by a human operator and an artificial agent? Can such algorithms deal with hierarchies in decision making, and how can decisions or models be explained and verified? Full details and instructions to apply can be found on this page.
New project on using AI to support human operators to control critical infrastructure
As part of consortium of 8 European countries, I will be involved in AI4REALNET (AI for real-world network operations). In this project, we will investigate how AI can be used to support decision making by human operators to improve safety and efficiency in the energy and transport sectors. AI4REALNET receives funding from the European Union’s Horizon Europe Research and Innovation programme.