Matthieu Zimmer

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Venues

CoRR

ICML

IEEE Robotics Autom. Lett.

ICDL-EPIROB

University of Lorraine, Nancy, France (PHD)

Education History

University of Lorraine, Nancy, France

PHD

Publications

Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR (2024)
Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR (2024)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A survey on interpretable reinforcement learning. Mach. Learn. 113 (8) (2024)
Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR (2023)
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. CoRR (2023)
Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. CoRR (2023)
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. NeurIPS (2023)
Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. EMNLP (Findings) (2023)
Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
Lightweight Structural Choices Operator for Technology Mapping. DAC (2023)
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
Differentiable Logic Machines. Trans. Mach. Learn. Res. 2023 (2023)
Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
Neuro-Symbolic Hierarchical Rule Induction. ICML (2022)
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR (2022)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A Survey on Interpretable Reinforcement Learning. CoRR (2021)
Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. ICML (2021)
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
Differentiable Logic Machines. CoRR (2021)
Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
Neuro-Symbolic Hierarchical Rule Induction. CoRR (2021)
Matthieu Zimmer, Umer Siddique, Paul Weng
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
Umer Siddique, Paul Weng, Matthieu Zimmer
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. CoRR (2020)
Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning. CoRR (2020)
Umer Siddique, Paul Weng, Matthieu Zimmer
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards. ICML (2020)
Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (4) (2020)
Matthieu Zimmer, Paul Weng
An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains. DAI (2019)
Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
Invariant Transform Experience Replay. CoRR (2019)
Matthieu Zimmer, Paul Weng
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. CoRR (2019)
Matthieu Zimmer, Paul Weng
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. IJCAI (2019)
Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation. CoRR (2019)
Matthieu Zimmer, Yann Boniface, Alain Dutech
Developmental Reinforcement Learning through Sensorimotor Space Enlargement. ICDL-EPIROB (2018)
Matthieu Zimmer, Stéphane Doncieux
Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results. IEEE Trans. Cogn. Dev. Syst. 10 (1) (2018)
Matthieu Zimmer, Yann Boniface, Alain Dutech
Neural fitted actor-critic. ESANN (2016)

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Publication Activity (10 Years)

Top Topics

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Matthieu Zimmer