Arthur Aubret

According to our database, Arthur Aubret authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

IEEE Trans. Cogn. Dev. Syst., December, 2023

An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

Entropy, February, 2023

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development.

Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch

CoRR, 2023

Time to augment self-supervised visual representation learning.

Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play.

Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

Time to augment contrastive learning.

Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch

CoRR, 2022

Embodied vision for learning object representations.

Arthur Aubret, Céline Teulière, Jochen Triesch

CoRR, 2022

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs.

Dominik Mattern, Francisco M. López, Markus Roland Ernst, Arthur Aubret, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2022

Toddler-inspired embodied vision for learning object representations.

Arthur Aubret, Céline Teulière, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2022

2021

Learning increasingly complex skills through deep reinforcement learning using intrinsic motivation. (Apprentissage de compétences de plus en plus complexes via l'apprentissage profond par renforcement en utilisant la motivation intrinsèque).

Arthur Aubret

PhD thesis, 2021

2020

ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

A survey on intrinsic motivation in reinforcement learning.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

CoRR, 2019