188 citations · 880 across the 70 of their papers we have counts for
13 papers · 1 filter
On Connections between Constrained Optimization and Reinforcement Learning
Nino Vieillard, Olivier Pietquin, Matthieu Geist
Dynamic Programming (DP) provides standard algorithms to solve Markov Decision Processes. However, these algorithms generally do not optimize a scalar objective function. In this p…
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
Assia Benbihi, Stéphanie Aravecchia, Matthieu Geist +1
Most of the research effort on image-based place recognition is designed for urban environments. In bucolic environments such as natural scenes with low texture and little semantic…
Momentum in Reinforcement Learning
Nino Vieillard, Bruno Scherrer, Olivier Pietquin +1
We adapt the optimization's concept of momentum to reinforcement learning. Seeing the state-action value functions as an analog to the gradients in optimization, we interpret momen…
Learning Sensor Placement from Demonstration for UAV networks
Assia Benbihi, Matthieu Geist, Cédric Pradalier
This work demonstrates how to leverage previous network expert demonstrations of UAV deployment to automate the drones placement in civil applications. Optimal UAV placement is an…
ELF: Embedded Localisation of Features in pre-trained CNN
Assia Benbihi, Matthieu Geist, Cédric Pradalier
This paper introduces a novel feature detector based only on information embedded inside a CNN trained on standard tasks (e.g. classification). While previous works already show th…
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret, Raphaël Marinier, Matthieu Geist +1
The ability to transfer knowledge to novel environments and tasks is a sensible desiderata for general learning agents. Despite the apparent promises, transfer in RL is still an op…