Selected Publications
| [1] | Matthieu Zimmer*, Claire Glanois*, Umer Siddique, and Paul Weng. Learning fair policies in decentralized cooperative multi-agent reinforcement learning. In International Conference on Machine Learning, 2021. [ bib | arXiv | source code ] |
| [2] | Umer Siddique, Paul Weng, and Matthieu Zimmer. Learning fair policies in multi-objective deep reinforcement learning with average and discounted rewards. In International Conference on Machine Learning, 2020. [ bib | pdf | source code ] |
| [3] | Matthieu Zimmer and Paul Weng. Exploiting the sign of the advantage function to learn deterministic policies in continuous domains. In International Joint Conferences on Artificial Intelligence, August 2019. [ bib | poster | hal pdf | source code | slides ] |
| [4] | Matthieu Zimmer, Yann Boniface, and Alain Dutech. Developmental reinforcement learning through sensorimotor space enlargement. In The 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, September 2018. [ bib | video | hal pdf | source code | slides ] |
| [5] | Matthieu Zimmer and Stephane Doncieux. Bootstrapping q-learning for robotics from neuro-evolution results. IEEE Transactions on Cognitive and Developmental Systems, 2017. [ bib | video | hal pdf | pdf ] |
