Dr Paulo Rauber

Research

Artificial Intelligence, Machine Learning, Reinforcement Learning, Formalized Mathematics

Interests

I am a lecturer in Artificial Intelligence at Queen Mary University of London. Before becoming a lecturer, I was a postdoctoral researcher in the Swiss AI lab working on reinforcement learning under the supervision of Jürgen Schmidhuber.

I believe that intelligence should be defined as a measure of the ability of an agent to achieve goals in a wide range of environments, which makes reinforcement learning an excellent framework to study many challenges that intelligent agents are bound to face.

Publications of specific relevance to the Centre for Fundamentals of AI and Computational Theory

Research Group

PhD Students

• Michelangelo Conserva
  Towards a Systematic Understanding of Environments Hardness in Reinforcement Learning
• Remo Sasso
  Scalable and Efficient Exploration For Model-Based Reinforcement Learning
• Connor Watts
  Towards Interpreting in-Context Reinforcement Learning
• Linjie Xu
  Efficient Data Usage in Planning and Reinforcement Learning

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