Continual Reinforcement Learning with Neuroevolution
Despite many studies about causes and remedies of plasticity loss in Reinforcement Learning (RL) under continual task changes, no RL method has yet consistently achieved a good balance between adaptation and forgetting. Here we turn to an alternative optimization paradigm, neuroevolution (NE): algorithms that search di...
Eleni Nisioti, Andrea Cossu, Kathrin Korte et al.
· 0 citations