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Matthieu Zimmer
Matthieu Zimmer
RL Research Scientist @ Huawei Noah’s Ark Lab
Adresse e-mail validée de matthieu-zimmer.net - Page d'accueil
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Année
Teacher-student framework: a reinforcement learning approach
M Zimmer, P Viappiani, P Weng
AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014
762014
Learning fair policies in multi-objective (deep) reinforcement learning with average and discounted rewards
U Siddique, P Weng, M Zimmer
International Conference on Machine Learning, 8905-8915, 2020
672020
A survey on interpretable reinforcement learning
C Glanois, P Weng, M Zimmer, D Li, T Yang, J Hao, W Liu
arXiv preprint arXiv:2112.13112, 2021
522021
Learning fair policies in decentralized cooperative multi-agent reinforcement learning
M Zimmer, C Glanois, U Siddique, P Weng
International Conference on Machine Learning, 12967-12978, 2021
362021
Invariant transform experience replay: Data augmentation for deep reinforcement learning
Y Lin, J Huang, M Zimmer, Y Guan, J Rojas, P Weng
IEEE Robotics and Automation Letters 5 (4), 6615-6622, 2020
352020
Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results
M Zimmer, S Doncieux
IEEE Transactions on Cognitive and Developmental Systems, 2017
262017
Differentiable logic machines
M Zimmer, X Feng, C Glanois, Z Jiang, J Zhang, P Weng, D Li, J Hao, ...
arXiv preprint arXiv:2102.11529, 2021
212021
Neuro-symbolic hierarchical rule induction
C Glanois, Z Jiang, X Feng, P Weng, M Zimmer, D Li, W Liu, J Hao
International Conference on Machine Learning, 7583-7615, 2022
182022
Neural Fitted Actor-Critic
M Zimmer, Y Boniface, A Dutech
ESANN - European Symposium on Artificial Neural Networks, Computational …, 2016
152016
Developmental reinforcement learning through sensorimotor space enlargement
M Zimmer, Y Boniface, A Dutech
International Conference on Development and Learning and on Epigenetic Robotics, 2018
122018
Exploiting the sign of the advantage function to learn deterministic policies in continuous domains
M Zimmer, P Weng
International Joint Conference on Artificial Intelligence, 2019
112019
Apprentissage par renforcement développemental
M Zimmer
Université de Lorraine, 2018
92018
Hyperparameter auto-tuning in self-supervised robotic learning
J Huang, J Rojas, M Zimmer, H Wu, Y Guan, P Weng
IEEE Robotics and Automation Letters 6 (2), 3537-3544, 2021
62021
Pangu-agent: A fine-tunable generalist agent with structured reasoning
F Christianos, G Papoudakis, M Zimmer, T Coste, Z Wu, J Chen, ...
arXiv preprint arXiv:2312.14878, 2023
52023
Towards More Sample Efficiency inReinforcement Learning with Data Augmentation
Y Lin, J Huang, M Zimmer, J Rojas, P Weng
Robot Learning Workshop, NeurIPS 2019, 2019
42019
End-to-end meta-Bayesian optimisation with transformer neural processes
A Maraval, M Zimmer, A Grosnit, H Bou Ammar
Advances in Neural Information Processing Systems 36, 2024
32024
Off-Policy Neural Fitted Actor-Critic
M Zimmer, Y Boniface, A Dutech
Deep Reinforcement Learning Workshop, NIPS 2016, 2016
22016
Invariant transform experience replay
Y Lin, J Huang, M Zimmer, J Rojas, P Weng
arXiv preprint arXiv:1909.10707, 2019
12019
Toward a data efficient neural actor-critic
M Zimmer, Y Boniface, A Dutech
European Workshop on Reinforcement Learning, 2016
12016
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Z Xiong, R Vuorio, J Beck, M Zimmer, K Shao, S Whiteson
arXiv preprint arXiv:2402.06570, 2024
2024
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