Hugo Caselles-Dupré

According to our database, Hugo Caselles-Dupré authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI.

Hugo Caselles-Dupré, Charles Mellerio, Paul Hérent, Alizée Lopez-Persem, Benoit Béranger, Mathieu Soularue, Pierre Fautrel, Gauthier Vernier, Matthieu Cord

CoRR, 2024

2023

Toward Teachable Autotelic Agents.

Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani

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

Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind.

Clémence Grislain, Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

CoRR, 2023

Enhancing Agent Communication and Learning through Action and Language.

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

CoRR, 2023

2022

Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning.

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

CoRR, 2022

Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions.

Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud

CoRR, 2022

Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments.

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

On the role of Actions and Machine Learning in Artificial Agent Perception. (Du rôle des Actions et de l'Apprentissage Automatique dans la Perception des Agents Artificiels).

Hugo Caselles-Dupré

PhD thesis, 2021

Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

CoRR, 2021

SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences.

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

CoRR, 2021

Towards Teachable Autonomous Agents.

Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani

CoRR, 2021

S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay.

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

Proceedings of the International Joint Conference on Neural Networks, 2021

On the Sensory Commutativity of Action Sequences for Embodied Agents.

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Facets of AGI: Where Science Meets Spirituality.

Gauthier Vernier, Hugo Caselles-Dupré, Pierre Fautrel

Patterns, 2020

Electric Dreams of Ukiyo: A Series of Japanese Artworks Created by an Artificial Intelligence.

Gauthier Vernier, Hugo Caselles-Dupré, Peirre Fautrel

Patterns, 2020

2019

DisCoRL: Continual Reinforcement Learning via Policy Distillation.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments.

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Models from the perspective of Continual Learning.

Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Continual State Representation Learning for Reinforcement Learning using Generative Replay.

Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat

CoRR, 2018

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning.

Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat

CoRR, 2018

Word2vec applied to recommendation: hyperparameters matter.

Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier

Proceedings of the 12th ACM Conference on Recommender Systems, 2018