Identifying optimal cycles in quantum thermal machines with reinforcement-learning. - Paolo Andrea Erdman; Frank Noé (CoRR, 2021)

Driving black-box quantum thermal machines with optimal power/efficiency trade-offs using reinforcement learning. - Paolo Andrea Erdman; Frank Noé (CoRR, 2022)

Measurement-Based Quantum Thermal Machines with Feedback Control. - Bibek Bhandari; Robert Czupryniak; Paolo Andrea Erdman; Andrew N. Jordan (Entropy, 2023)

Artificially intelligent Maxwell's demon for optimal control of open quantum systems. - Paolo Andrea Erdman; Robert Czupryniak; Bibek Bhandari; Andrew N. Jordan; Frank Noé; Jens Eisert; Giacomo Guarnieri (CoRR, 2024)