| Adaptive optics control with multi-agent model-free reinforcement learning B Pou, F Ferreira, E Quinones, D Gratadour, M Martin Optics Express 30 (2), 2991-3015, 2022 | 47 | 2022 |
| Model-free reinforcement learning with a non-linear reconstructor for closed-loop adaptive optics control with a pyramid wavefront sensor B Pou, J Smith, E Quinones, M Martin, D Gratadour Adaptive Optics Systems VIII 12185, 945-958, 2022 | 13 | 2022 |
| Simplifying Deep Temporal Difference Learning M Gallici, M Fellows, B Ellis, B Pou, I Masmitja, JN Foerster, M Martin arXiv preprint arXiv:2407.04811, 2024 | 8 | 2024 |
| Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics B Pou, J Smith, E Quinones, M Martin, D Gratadour Optics Express 32 (21), 37011-37035, 2024 | 4 | 2024 |
| Future-proof seamless real-time computing for AO with COSMIC F Ferreira, A Sevin, J Bernard, J Plante, C Cetre, N Doucet, B Pou, ... Adaptive Optics Systems IX 13097, 561-570, 2024 | 3 | 2024 |
| Denoising wavefront sensor images with deep neural networks B Pou, E Quiñones, D Gratadour, M Martin Adaptive Optics Systems VII 11448, 910-917, 2020 | 3 | 2020 |
| Integrating deep neural networks with COSMIC for real-time control B Pou, F Ferreira, E Quinones, M Martin, D Gratadour Software and Cyberinfrastructure for Astronomy VIII 13101, 293-306, 2024 | | 2024 |
| A Non Linear Control Method with Reinforcement Learning for Adaptive Optics with Pyramid Sensors B Pou, J Smith, E Quiñones, M Martín, D Gratadour SciOps 2022: Artificial Intelligence for Science and Operations in Astronomy …, 2022 | | 2022 |
