City Research Online

Items where Author is "Filliat, D."

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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.

This list was generated on Thu Mar 28 03:45:03 2024 UTC.