A formalization of multi-agent planning with explicit agent representation. - Alessandro Trapasso; Sofia Santilli; Luca Iocchi; Fabio Patrizi (SAC, 2023)

Towards Multi-Agent Model-Based Reinforcement Learning in Discrete Non-Markovian Reward Decision Processes. - Alessandro Trapasso; Francesco Amigoni; Luca Iocchi; Fabio Patrizi (AAPEI@ECAI, 2024)

Unified Planning: Modeling, manipulating and solving AI planning problems in Python. - Andrea Micheli; Arthur Bit-Monnot; Gabriele Röger; Enrico Scala; Alessandro Valentini 001; Luca Framba; Alberto Rovetta; Alessandro Trapasso; Luigi Bonassi; Alfonso Emilio Gerevini; Luca Iocchi; Félix Ingrand; et al. (SoftwareX, 2025)