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ORCIDHugo Caselles-Dupré
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2020 – today
- 2024
[i18]Hugo Caselles-Dupré, Charles Mellerio, Paul Hérent, Alizée Lopez-Persem, Benoit Béranger, Mathieu Soularue, Pierre Fautrel, Gauthier Vernier, Matthieu Cord:
Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI. CoRR abs/2404.05468 (2024)- 2023
- [j3]Olivier Sigaud
, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani:
Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. 15(3): 1070-1084 (2023) - [i17]Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani:
Enhancing Agent Communication and Learning through Action and Language. CoRR abs/2308.10842 (2023) - [i16]Clémence Grislain, Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani:
Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind. CoRR abs/2309.17275 (2023) - 2022
- [c6]Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani:
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. NeurIPS 2022 - [i15]Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud:
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions. CoRR abs/2203.00111 (2022) - [i14]Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani:
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. CoRR abs/2206.04546 (2022) - [i13]Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani:
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning. CoRR abs/2209.12758 (2022) - 2021
- [b1]Hugo Caselles-Dupré:
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). Polytechnic Institute of Paris, France, 2021 - [c5]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS 2021: 1472-1474 - [c4]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN 2021: 1-7 - [i12]Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani:
Towards Teachable Autonomous Agents. CoRR abs/2105.11977 (2021) - [i11]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR abs/2107.02069 (2021) - [i10]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR abs/2107.02095 (2021) - 2020
- [j2]Gauthier Vernier, Hugo Caselles-Dupré, Peirre Fautrel:
Electric Dreams of Ukiyo: A Series of Japanese Artworks Created by an Artificial Intelligence. Patterns 1(2): 100026 (2020) - [j1]Gauthier Vernier, Hugo Caselles-Dupré, Pierre Fautrel:
Facets of AGI: Where Science Meets Spirituality. Patterns 1(8): 100149 (2020) - [i9]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR abs/2002.05630 (2020)
2010 – 2019
- 2019
- [c3]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. IJCNN 2019: 1-8 - [c2]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS 2019: 4608-4617 - [i8]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR abs/1902.09434 (2019) - [i7]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR abs/1904.00243 (2019) - [i6]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat:
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR abs/1906.04452 (2019) - [i5]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat:
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR abs/1907.05855 (2019) - 2018
- [c1]Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier:
Word2vec applied to recommendation: hyperparameters matter. RecSys 2018: 352-356 - [i4]Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier:
Word2Vec applied to Recommendation: Hyperparameters Matter. CoRR abs/1804.04212 (2018) - [i3]Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat:
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR abs/1809.00510 (2018) - [i2]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR abs/1810.03880 (2018) - [i1]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. CoRR abs/1812.09111 (2018)
Coauthor Index
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