In Peer-Reviewed Journals
2025
T. Anne, N. Syrkis, M. Elhosni, F. Turati, F. Legendre, A. Jaquier, and S. Risi,
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control.
IEEE Transactions on Games (Early Access).
→ [preprint arXiv] [url]
2022
T. Anne, E. Dalin, I. Bergonzani, S. Ivaldi, and J.-B Mouret.
First do not fall: learning to exploit a wall with a damaged humanoid robot.
IEEE Robotics and Automation Letters.
→ [preprint arXiv] [url] [video]
In Peer-Reviewed Conferences
2024
T. Anne and J.-B. Mouret.
Parametric-Task MAP-Elites.
Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2024, Melbourne, Australia, July 14-18, 2024. ACM.
→ [preprint arXiv] [url]
2021
T. Anne, J. Wilkinson, and Z. Li.
Meta-Learning for Fast Adaptive Locomotion with Uncertainties in Environments and Robot Dynamics.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, 2021, pp. 4568-4575.
→ [preprint arXiv] [url] [video]
2020
R. Kaushik, T. Anne, and J.-B. Mouret.
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, 2020, pp. 5269-5276.
→ [preprint arXiv] [url]
In Minimally Reviewed Venues (Workshops, Posters, ...)
2023
T. Anne and J.-B. Mouret.
Multi-Task Multi-Behavior MAP-Elites.
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, GECCO 2023 Companion, Association for Computing Machinery, New York, NY, USA, 111–114.
→ [preprint arXiv] [url]
Under review
2025
T. Anne, N. Syrkis, M. Elhosni, F. Turati, F. Legendre, A. Jaquier, and S. Risi,
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites.
ALIFE 2025.
→ [preprint arXiv]