CORDIS Project
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This project focuses on enhancing decision-making in cyber-physical systems through advanced reinforcement learning techniques. It aims to develop reliable methods for optimizing performance in real-world applications, including robotics and energy efficiency.
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-wor…
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
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