Research outputs
Selected research outputs
- Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks (Conference Paper - 2023)
- The BAHAMAS project: evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum (Journal article - 2021)
2024
2023
Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks
Acuto, A., Maskell, S., & Jack, D. (2023). Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. In Ceur Workshop Proceedings Vol. 3652 (pp. 22-35).
2021
The BAHAMAS project: evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum
Acuto, A., McCarthy, I. G., Kwan, J., Salcido, J., Stafford, S. G., & Font, A. S. (2021). The BAHAMAS project: evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 508(3), 3519-3534. doi:10.1093/mnras/stab2834