13 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 9 cited
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin, Philip J. Ball, Steve Roberts +1
Off-policy reinforcement learning (RL) from pixel observations is notoriously unstable. As a result, many successful algorithms must combine different domain-specific practices and…
physics.acc-ph2014★ 13 cited
FAFNIR: Strategy and risk reduction in accelerator driven neutron sources for fusion materials irradiation data
E. Surrey, M. Porton, A. Caballero +10
The need to populate the fusion materials engineering data base has long been recognized, the IFMIF facility being the present proposed neutron source for this purpose. Re-evaluati…
physics.ins-det2014★ 6 cited
Reducing Risk and Accelerating Delivery of a Neutron Source for Fusion Materials Research
E. Surrey, M. Porton, T. Davenne +8
The materials engineering data base relevant to fusion irradiation is poorly populated and it has long been recognized that a fusion spectrum neutron source will be required, the f…