4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Preserving Plasticity in Continual Learning via Dynamical Isometry
Andries Rosseau, Robert Müller, Ann Nowé
Continual training of deep neural networks under non-stationarity often leads to a progressive loss of plasticity, eventually limiting further learning. We relate plasticity to the…
cs.LG2022★ 4 cited
Pareto Conditioned Networks
Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
In multi-objective optimization, learning all the policies that reach Pareto-efficient solutions is an expensive process. The set of optimal policies can grow exponentially with th…
cs.LG2022
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Mathieu Reymond, Conor F. Hayes, Lander Willem +8
Infectious disease outbreaks can have a disruptive impact on public health and societal processes. As decision making in the context of epidemic mitigation is hard, reinforcement l…