Krause Lab

Research focus

ERC Consolidator Grant · 2018

Reliable Data-Driven Decision Making in Cyber-Physical Systems

This ERC project pushes the boundary of reliable data-driven decision making in cyber-physical systems (CPS), by bridging reinforcement learning (RL), nonparametric estimation and robust optimization. RL is a powerful abstraction of decision making under uncertainty and has witnessed dramatic recent breakthroughs. Most of these successes have been in games such as Go - well specified, closed environments that - given enough computing power - can be extensively simulated and explored. In real-world CPS, however, accurate simulations are rarely available, and exploration in these applications is a highly dangerous proposition. We strive to rethink Reinforcement Learning from the perspective…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.