Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning ↗ ↖ Erwan Escudie Laëtitia Matignon Jacques Saraydaryan
Multi-objective reinforcement learning: an ethical perspective ↗ ↖ Timon Deschamps Rémy Chaput Laëtitia Matignon
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
DisTop: Discovering a Topological representation to learn diverse and rewarding skills ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
Learning to identify and settle dilemmas through contextual user preferences ↗ ↖ Rémy Chaput Laëtitia Matignon Mathieu Guillermin
An information-theoretic perspective on intrinsic motivation in reinforcement learning ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
Apprentissage pour la navigation robotique parmi les humains : vers des chemins s'adaptant aux dynamiques de l'environnement ↗ ↖ Yohan Michelland Laëtitia Matignon Jacques Saraydaryan Olivier Simonin
Compressed information is all you need: unifying intrinsic motivations and representation learning ↗ ↖ Arthur Aubret Mathieu Lefort Jochen Triesch Laëtitia Matignon Salima Hassas Céline Teulière
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation ↗ ↖ Pierre Marza Laëtitia Matignon Olivier Simonin Christian Wolf
Apprentissage séquentiel de compétences via la motivation intrinsèque et l'apprentissage par renforcement ↗ ↖ Hedwin Bonnavaud Arthur Aubret Laëtitia Matignon