Coloured Petri Net Plans for Cooperative Multi-robot Systems. - Lorenzo Steccanella; Alessandro Farinelli; Luca Iocchi; Daniele Nardi (AIRO@AI*IA, 2016)

Deep Learning Waterline Detection for Low-Cost Autonomous Boats. - Lorenzo Steccanella; Domenico Bloisi; Jason Blum; Alessandro Farinelli (IAS, 2018)

Hierarchical reinforcement learning for efficient exploration and transfer. - Lorenzo Steccanella; Simone Totaro; Damien Allonsius; Anders Jonsson 001 (CoRR, 2020)

Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. - Lorenzo Steccanella; Domenico Daniele Bloisi; Alberto Castellini; Alessandro Farinelli (Robotics Auton. Syst., 2020)

State Representation Learning for Goal-Conditioned Reinforcement Learning. - Lorenzo Steccanella; Anders Jonsson 001 (ECML/PKDD (4), 2022)

Hierarchical Representation Learning for Markov Decision Processes. - Lorenzo Steccanella; Simone Totaro; Anders Jonsson 001 (CoLLAs, 2023)

Asymmetric Norms to Approximate the Minimum Action Distance. - Lorenzo Steccanella; Anders Jonsson 001 (CoRR, 2023)

Representation learning for hierarchical reinforcement learning - Lorenzo Steccanella (2023)

Learning The Minimum Action Distance. - Lorenzo Steccanella; Joshua B. Evans; Özgür Simsek; Anders Jonsson 001 (CoRR, 2025)