Conference or Workshop Item

Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 and Filliat, D. (2019). Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. Paper presented at the 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. and Filliat, D. (2019). Generative Models from the perspective of Continual Learning. Proceedings of the International Joint Conference on Neural Networks, pp. 1-8. doi: 10.1109/IJCNN.2019.8851986 ISSN 2161-4393

Caselles-Dupré, H., Garcia Ortiz, M. ORCID: 0000-0003-4729-7457 and 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 and 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.