Riccardo De Santi

Riccardo De Santi

Machine Learning and Theoretical Computer Science student

ETH Zurich

I am a MSc student at ETH Zurich majoring in Machine Learning and Theoretical CS. During my Bachelor I have started my research journey in Unsupervised Reinforcement Learning (RL) supervised by prof. Marcello Restelli at Politecnico di Milano. Currently, I am doing a visiting at the University of Oxford, while last year I was at Imperial College London, both times under the supervision of profs. Michael Bronstein and Marcello Restelli.

I am interested in the interface of RL/Active Learning, Theoretical CS (e.g. Optimization, Information Theory, Algorithmic Game Theory), and other areas such as Causality and Group Theory, whereas my application areas of interest are mostly Scientific Discovery and Healthcare. Recently, I have been trying to strengthen the theory bridging sequential decision making under uncertainty, causality, and group theoretic learning, in order to tackle generalization and exploration issues through efficient algorithms with guarantees.

My research in Unsupervised RL has been recently awarded with an Outstanding Paper Award at ICML 2022.

Interests
  • Reinforcement Learning
  • Active Learning and Bayesian Optimization
  • Causal Structure Learning
  • Geometric ML and Combinatorial Optimization
Education
  • MSc in Machine Learning and Theoretical Computer Science, present

    ETH Zurich

  • BSc in Computer Science and Engineering, 2020

    Politecnico di Milano