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Department of Computer Science and Technology

  • PhD Candidate

I am Matteo, a PhD student in Prorok Lab at the University of Cambridge.

With my supervisor, Dr. Amanda Prorok, I study resilience and heterogeneity in multi-agent and multi-robot systems. For my research, I employ techniques from the fields of Multi-Agent Reinforcement Learning and Graph Neural Networks.

Prior to my PhD, I investigated the problem of transport network design for multi-agent routing.

Research

Teaching

Publications

Conference proceedings

  • Bou, A., Bettini, M., Dittert, S., Kumar, V., Sodhani, S., Yang, X., De Fabritiis, G. and Moens, V., 2024. TORCHRL: A DATA-DRIVEN DECISION-MAKING LIBRARY FOR PYTORCH 12th International Conference on Learning Representations, ICLR 2024,
  • Bettini, M., Shankar, A. and Prorok, A., 2023. Heterogeneous Multi-Robot Reinforcement Learning Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, v. 2023-May
  • Morad, S., Kortvelesy, R., Bettini, M., Liwicki, S. and Prorok, A., 2023. POPGYM: BENCHMARKING PARTIALLY OBSERVABLE REINFORCEMENT LEARNING 11th International Conference on Learning Representations, ICLR 2023,
  • Book chapters

  • Bettini, M., Kortvelesy, R., Blumenkamp, J. and Prorok, A., 2024. VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning
    Doi: http://doi.org/10.1007/978-3-031-51497-5_4
  • Journal articles

  • Bettini, M., Kortvelesy, R., Blumenkamp, J. and Prorok, A., 2022. VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
  • Bettini, M. and Prorok, A., 2022. On the properties of path additions for traffic routing
  • Contact Details

    Room: 
    SN05
    Office address: 
    Department of Computer Science and Technology, William Gates Building, 15 JJ Thomson Avenue, Cambridge CB3 0FD, UK
    Email: 

    mb2389@cl.cam.ac.uk