About

My name is Alessandro Trapasso. I am a Research Fellow at Sapienza University of Rome (DIAG). I earned my PhD in Artificial Intelligence from Sapienza University of Rome in September 2025.
I worked with the research groups RoCoCo Lab and WhiteMech, and my supervisors were Prof. Luca Iocchi and Prof. Fabio Patrizi.

During my PhD, I was a visiting researcher at the Universitat Pompeu Fabra, Barcelona, where I worked with Prof. Anders Jonsson.

I earned my MSc and BSc in Computer Science and Engineering at Sapienza University of Rome.
Since 2022, I have been a licensed Professional Engineer in Italy.

My research interests are in Artificial Intelligence. I focus on integrating planning and learning, especially model-based reinforcement learning in multi-agent systems, with an emphasis on non-Markovian rewards (Reward Machines), concurrency, and coordination.

I also develop and maintain Multi-Agent RLRM, an open-source Python framework for multi-agent reinforcement learning with Reward Machines.
In addition, I developed the multi-agent planning part in Unified Planning.

I am passionate about Machine Learning, football, and chess.
I believe curiosity and continuous self-improvement make a difference in any field where you want to excel.
I am a positive person and I like to invest my time in what I love.

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