Items where Author is "Filliat, D."
Caselles-Dupre, H., Garcia-Ortiz, M. 
ORCID: 0000-0003-4729-7457 & Filliat, D. (2021).
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay.
In:
Proceedings of the International Joint Conference on Neural Networks.
2021 International Joint Conference on Neural Networks (IJCNN), 18-22 Jul 2021, Virtual.
doi: 10.1109/IJCNN52387.2021.9533683
Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 & Filliat, D. (2021).
On the Sensory Commutativity of Action Sequences for Embodied Agents.
In:
AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems.
20th International Conference on Autonomous Agents and MultiAgent Systems, 3-7 May 2021, Virtual.
doi: 10.5555/3463952.3464129
Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 & Filliat, D. (2019).
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments.
In:
Advances in Neural Information Processing Systems.
Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 8-14 Dec 2019, Vancouver, Canada.
Garcia Ortiz, M. ORCID: 0000-0003-4729-7457, Lesort, T., Caselles-Dupré, H. , Goudou, J-F. & Filliat, D. (2019).
Generative Models from the perspective of Continual Learning.
In:
Proceedings of the International Joint Conference on Neural Networks.
Workshop on Continual Learning, NeurIPS 2018 - 32nd Conference on Neural Information Processing Systems, 07 December 2018, Montreal, Canada.
doi: 10.1109/IJCNN.2019.8851986
Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 & Filliat, D. (2018).
Continual State Representation Learning for Reinforcement Learning using Generative Replay.
Paper presented at the Workshop on Continual Learning, NeurIPS 2018- 32nd Conference on Neural Information Processing Systems, 07 December 2018, Montreal, Canada.
Caselles-Dupré, H., Annabi, L., Hagen, O. , Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 & Filliat, D. (2018).
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning.
Paper presented at the Workshop on Continual Unsupervised Sensorimotor Learning - ICDL-Epirob 2018, 17 September 2018, Tokyo, Japan.