When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions
J Perez, G Kovač, C Léger, C Colas, G Molinaro, M Derex, PY Oudeyer, C Moulin-Frier
ICLR, 2025

@misc{perez2024llmsplaytelephonegame,
   title={When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions}, 
   author={Jérémy Perez and Corentin Léger and Grgur Kovač and Cédric Colas and Gaia Molinaro and Maxime Derex and Pierre-Yves Oudeyer and Clément Moulin-Frier},
   year={2024},
   eprint={2407.04503},
   archivePrefix={arXiv},
   primaryClass={physics.soc-ph},
   url={https://arxiv.org/abs/2407.04503}, 
}

Cultural evolution in populations of Large Language Models
J Perez, C Léger, M Ovando-Tellez, C Foulon, J Dussauld, PY Oudeyer, C Moulin-Frier
ArXiv, 2024

@article{perez2024cultural,
   title={Cultural evolution in populations of Large Language Models},
   author={Perez, J{\'e}r{\'e}my and L{\'e}ger, Corentin and Ovando-Tellez, Marcela and Foulon, Chris and Dussauld, Joan and Oudeyer, Pierre-Yves and Moulin-Frier, Cl{\'e}ment},
   journal={arXiv preprint arXiv:2403.08882},
   year={2024}
}

Evolving reservoirs for Meta Reinforcement Learning
*C Léger, *G Hamon, E Nisioti, X Hinaut, C Moulin-Frier
EvoStar [Long Talk] , 2024

@inproceedings{leger2024evolving,
   title={Evolving Reservoirs for Meta Reinforcement Learning},
   author={L{\'e}ger, Corentin and Hamon, Gautier and Nisioti, Eleni and Hinaut, Xavier and Moulin-Frier, Cl{\'e}ment},
   booktitle={International Conference on the Applications of Evolutionary Computation (Part of EvoStar)},
   pages={36--60},
   year={2024},
   organization={Springer}
}

Early Empirical Results on Reinforcement Symbolic Learning
W Radji, C Léger, L Bardisbanian
HAL Inria, 2023

@phdthesis{radji2023early,
   title={Early Empirical Results on Reinforcement Symbolic Learning},
   author={Radji, Waris and L{\'e}ger, Corentin and Bardisbanian, Lucas},
   year={2023},
   school={Inria \& Labri, Univ. Bordeaux}
}

LLM-Culture
This software enables simulating networks composed of LLMs agents, that can generate text over multiple generations based on their neighbors input, personnality and task. The project also provides tools for analyzing the resulting text dynamics a web interface.

Vivarium
Multi-agent simulator in a 2D physics-world, implemented in Jax, serving both research and teaching in AI & ALife. The simulations can be hosted on a server, and interacted with in real time from a web interface or Jupyter Notebooks.

KanRL
Project studying the combination of RL and Kolmogorov-Arnold Networks (KANs). I helped creating a Hugging Face app to interpret RL policies, and benchmarked the performance of Policy Gradient and PPO algorithms using both KANs and MLPs.