Carlo D'Eramo

Carlo D'Eramo is Professor and Head of the Reinforcement Learning and Computational Decision-Making professorship at the Center for Artificial Intelligence and Data Science (CAIDAS) of University of Würzburg. He additionally serves as an independent group leader of hessian.AI, focusing on developing lightweight methods to obtain adaptive autonomous agents that can handle real-world complexity.

His academic journey includes:

• B.Sc. in Computer Engineering from Politecnico di Milano (2011)
• M.Sc. in Computer Engineering from Politecnico di Milano (2015)
• Double degree in Computer Science from University of Illinois at Chicago (2015)
• Ph.D. in Information Technology from Politecnico di Milano (2019)
• Postdoctoral research at TU Darmstadt's Intelligent Autonomous Systems group (2019-2022)

D'Eramo leads the LiteRL research group investigating how agents can efficiently acquire expert skills accounting for real-world complexity. His research spans multiple reinforcement learning domains including multi-task, curriculum, adversarial, options, and multi-agent RL. His work bridges theoretical advances with practical applications, particularly in robotics and decision-making systems.

His recent publications (2023-2025) demonstrate significant contributions across exploration strategies, neural network architectures, multi-agent coordination, and physics-informed machine learning. His work frequently appears in top-tier venues including TMLR, RLJ, IEEE PAMI, ICML, and ICLR, with multiple papers receiving spotlight or oral presentation designations.

Professional activities include:

• Senior area chair for RLC
• Area chair for AAAI, ACML, AISTATS, NeurIPS, and ICLR
• Reviewer for DFG and ERC proposals
• Creator of MushroomRL reinforcement learning framework

D'Eramo actively contributes to academic community service while mentoring researchers in his group. His work on lightweight methods aims to make reinforcement learning more practical for real-world applications across various domains.