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
An information-theoretic perspective on intrinsic motivation in reinforcement learning ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
Compressed information is all you need: unifying intrinsic motivations and representation learning ↗ ↖ Arthur Aubret Mathieu Lefort Jochen Triesch Laëtitia Matignon Salima Hassas Céline Teulière
Apprentissage séquentiel de compétences via la motivation intrinsèque et l'apprentissage par renforcement ↗ ↖ Hedwin Bonnavaud Arthur Aubret Laëtitia Matignon
DisTop: Discovering a Topological representation to learn diverse and rewarding skills ↗ ↖ Arthur Aubret Laetitia Matignon Salima Hassas
Learning increasingly complex skills through deep reinforcement learning using intrinsic motivation ↗ ↖ Arthur Aubret
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas