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Carlo D'Eramo studied Computer Engineering at Politecnico di Milano (Italy), where he obtained a B.Sc. degree in 2011 and an M.Sc. degree in 2015. He obtained a double degree in Computer Science at University of Illinois at Chicago (USA) in 2015.

Afterwards, he conducted a Ph.D. in Information Technology at Politecnico di Milano (Italy), where he graduated in February 2019 with a thesis "On the exploitation of uncertainty to improve Bellman updates and exploration in Reinforcement Learning". Then, he has been a postdoctoral researcher at the Intelligent Autonomous Systems (IAS) group at TU Darmstadt from April 2019 to October 2022. Since April 2022, he is a research group leader of the LiteRL group at hessian.AI.

During several years of research, he gained extensive experience in Reinforcement Learning and provided key methodological advances in several related topics. He has made important and well-recognised contributions to uncertainty quantification and exploitation, multi-task and curriculum learning, skill decomposition, residual learning, and planning. Moreover, he is the developer of MushroomRL, a widely accepted library for simplifying the implementation of Reinforcement Learning experiments.

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