82 citations · 196 across the 22 of their papers we have counts for
3 papers · 1 filter
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
Pascal Leroy, Damien Ernst, Pierre Geurts +3
This paper introduces four new algorithms that can be used for tackling multi-agent reinforcement learning (MARL) problems occurring in cooperative settings. All algorithms are bas…
Multi-task pre-training of deep neural networks for digital pathology
Romain Mormont, Pierre Geurts, Raphaël Marée
In this work, we investigate multi-task learning as a way of pre-training models for classification tasks in digital pathology. It is motivated by the fact that many small and medi…
On the Transferability of Winning Tickets in Non-Natural Image Datasets
Matthia Sabatelli, Mike Kestemont, Pierre Geurts
We study the generalization properties of pruned neural networks that are the winners of the lottery ticket hypothesis on datasets of natural images. We analyse their potential und…