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ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.
Safety and robustness in reinforcement learning
Reinforcement learning has achieved impressive results in recent years through learning by trial and error. However, many real-world applications are subject to safety constraints that should not be violated at any time. In these cases, autonomous agents that can reason about safety while exploring and learning about their environment are necessary. In my research, I combine ideas from control theory and machine learning to build provably safe learning agents.
Academic Track
September 26th, 2016 - March 31st, 2021
September 26th, 2018 - September 26th, 2019
Exchange Advisor
Research
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