Riccardo De Santi

  • Ph.D. Student
  • riccardo.desanti@inf.ethz.ch
  • OAT X 14
  • Linkedln
  • External Website
  • How can we design agents able to autonomously explore and perform (scientific) discovery? In my research, I tackle this question from the perspective of sequential decision-making by working on foundations and practical algorithms at the intersection of reinforcement learning, bayesian optimization, experimental design, and submodular optimization.


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