In Peer-Reviewed Journals
2022
T. Anne, E. Dalin, I. Bergonzani, S. Ivaldi, J.-B Mouret (2022).
First do not fall: learning to exploit a wall with a damaged humanoid robot.
IEEE Robotics and Automation Letters. IEEE.
→ [preprint pdf] [url] [video]
In Peer-Reviewed Conferences
2024
T. Anne and J. -B. Mouret (2024).
Parametric-Task MAP-Elites.
Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2024, Companion Volume, Melbourne, Australia, July 14-18, 2024. ACM.
→ [preprint pdf] [url]
2021
T. Anne, J. Wilkinson and Z. Li (2021).
Meta-Learning for Fast Adaptive Locomotion with Uncertainties in Environments and Robot Dynamics.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021, pp. 4568-4575.
→ [preprint pdf] [url] [video]
2020
R. Kaushik, T. Anne and J. -B. Mouret (2020).
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 5269-5276.
→ [preprint pdf] [url]
In Minimally Reviewed Venues (Workshops, Posters, ...)
2023
Timothée Anne and Jean-Baptiste Mouret (2023).
Multi-Task Multi-Behavior MAP-Elites.
In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA, 111–114.
→ [preprint pdf] [url]