Alessandro Trapasso

I am a Postdoctoral Researcher at the PSO Unit, Fondazione Bruno Kessler (FBK). I earned my PhD in Artificial Intelligence in September 2025.

Publications · GitHub

About

My name is Alessandro Trapasso. I am a Postdoctoral Researcher at the Planning, Scheduling and Optimization Unit (PSO) at Fondazione Bruno Kessler (FBK), where I work on reinforcement learning for automated planning and scheduling within STEP-RL, an ERC Starting Grant led by Andrea Micheli. 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 focuses on the integration of automated planning and reinforcement learning, with particular interest in model-based and multi-agent RL, non-Markovian rewards, reward machines, temporal logics and automata-based methods, concurrency, and coordination.

I also develop and maintain Multi-Agent RLRM, an open-source Python framework for multi-agent reinforcement learning with Reward Machines, including tools for specification, evaluation, and reproducible experimentation.
In addition, I led the development of the multi-agent planning module 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.