1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2023
Approaching Unanticipated Consequences
Andrew Darby, Pete Sawyer, Nelly Bencomo
In an ever-changing world, even software that fulfils its requirements may have un-envisioned aftereffects with significant impacts. We explored how such impacts can be better unde…
cs.LG2023★ 1 cited
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning
Juan Marcelo Parra-Ullauri, Chen Zhen, Antonio García-Domínguez +5
A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance. However, defining a good choice of hyperparamete…