Massimiliano (Max) Tamborski

Hi, I am Max, a PhD student at the University of Cambridge (Gonville & Caius College), supervised by David Abel. I use reinforcement learning to investigate the foundations of agency and learning, specifically by building agents that make the most efficient use of available computational resources. My research is generously supported by a full scholarship from the Department of Computer Science and Technology.

I recently completed a Master of Informatics at the University of Edinburgh, and was a member of the Autonomous Agents Research Group from 2021. During my time there, I was fortunate to be supervised by David Abel and Stefano Albrecht. I also studied at the University of Pennsylvania.

I am always open to new ideas and collaborations. If you’re interested in bounded agency, RL, continual learning, abstractioins, robotics, or anything related, I’d love to chat!

news

Jul 11, 2025	🏆 Honoured to receive the Howe Undergraduate Prize as the top-ranked graduate across all AI-related degree programmes within the School of Informatics at the University of Edinburgh.
May 03, 2025	✈️ Memory Allocation in Resource-Constrained Reinforcement Learning accepted as a spotlight at RLDM 2025!

selected publications

Memory Allocation in Resource-Constrained Reinforcement Learning

Massimiliano Tamborski and David Abel

Conference on Reinforcement Learning and Decision Making, 2025

(Spotlight: given to 5.9% of papers)

arXiv Bib PDF

@article{tamborski2025memory,
  title = {Memory Allocation in Resource-Constrained Reinforcement Learning},
  author = {Tamborski, Massimiliano and Abel, David},
  journal = {Conference on Reinforcement Learning and Decision Making},
  year = {2025},
  spotlight = {(Spotlight: given to 5.9% of papers)},
}