Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. - Johann Lussange; Alexis Belianin; Sacha Bourgeois-Gironde; Boris S. Gutkin (IntelliSys (3), 2020)

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents. - Hugo Laurençon; Charbel-Raphaël Ségerie; Johann Lussange; Boris S. Gutkin (CoRR, 2021)

3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction. - Johann Lussange; Mulin Yu; Yuliya Tarabalka; Florent Lafarge (CoRR, 2023)

Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent. - Hugo Laurençon; Yesoda Bhargava; Riddhi Zantye; Charbel-Raphaël Ségerie; Johann Lussange; Veeky Baths; Boris Gutkin (CoRR, 2024)

Modelling crypto markets by multi-agent reinforcement learning. - Johann Lussange; Stefano Vrizzi; Stefano Palminteri; Boris Gutkin (CoRR, 2024)