3 papers
eess.SY2025
Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks
Harry Holt, Sebastien Origer, Dario Izzo
Guidance & control networks (G&CNETs) provide a promising alternative to on-board guidance and control (G&C) architectures for spacecraft, offering a differentiable, end-to-end rep…
math.OC2025
High-order expansion of Neural Ordinary Differential Equations flows
Dario Izzo, Sebastien Origer, Giacomo Acciarini +1
Artificial neural networks, widely recognised for their role in machine learning, are now transforming the study of ordinary differential equations (ODEs), bridging data-driven mod…
eess.SY2024
Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold
Sebastien Origer, Dario Izzo, Giacomo Acciarini +4
We perform uncertainty propagation on an event manifold for Guidance & Control Networks (G&CNETs), aiming to enhance the certification tools for neural networks in this field. This…