Angeliki Kamoutsi

     Research Interests:

  • Reinforcement learning
  • Imitation learning
  • Optimization

 

Biography

I am a postdoctoral researcher at the Laboratory for Information and Inference Systems (LIONS) hosted by Prof. Volkan Cehver.

My interests lie in the intersection of reinforcement learning, mathematical optimization, and optimal control theory.

I hold a diploma in Applied Mathematics & Physics from the National Technical University of Athens (NTUA), Greece, an MSc in Mathematics from ETH Zurich, Switzerland, and a Ph.D. in Information Technology and Electrical Engineering at ETH Zurich, under the supervision of Prof. John Lygeros.

With a strong focus on the mathematical foundations of data-driven control, my current research is dedicated to developing provably efficient algorithms for imitation learning and inverse reinforcement learning in large-scale regimes.

Publications with LIONS

Proximal Point Imitation Learning

L. Viano; A. Kamoutsi; G. Neu; I. Krawczuk; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.

Detailed record

Contact

e-mail address: Angeliki Kamoutsi

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