DAC nominated at GECCO'25

Our GECCO’25 paper On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA has been nominated for the best paper award at this year’s GECCO.