Matthieu Zimmer

According to our database, Matthieu Zimmer authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on interpretable reinforcement learning.

Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

Mach. Learn., July, 2024

Mixture of Attentions For Speculative Decoding.

Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang

CoRR, 2024

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

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

CoRR, 2024

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control.

Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Differentiable Logic Machines.

Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

Trans. Mach. Learn. Res., 2023

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.

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

CoRR, 2023

End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes.

Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis.

Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Lightweight Structural Choices Operator for Technology Mapping.

Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates.

Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar

CoRR, 2022

Neuro-Symbolic Hierarchical Rule Induction.

Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao

Proceedings of the International Conference on Machine Learning, 2022

2021

Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning.

Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng

IEEE Robotics Autom. Lett., 2021

Neuro-Symbolic Hierarchical Rule Induction.

Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu

CoRR, 2021

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning.

Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng

IEEE Robotics Autom. Lett., 2020

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning.

Matthieu Zimmer, Umer Siddique, Paul Weng

CoRR, 2020

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards.

Umer Siddique, Paul Weng, Matthieu Zimmer

CoRR, 2020

Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards.

Umer Siddique, Paul Weng, Matthieu Zimmer

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng

CoRR, 2019

Invariant Transform Experience Replay.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng

CoRR, 2019

Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains.

Matthieu Zimmer, Paul Weng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains.

Matthieu Zimmer, Paul Weng

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

2018

Apprentissage par renforcement développemental. (Developmental reinforcement learning).

Matthieu Zimmer

PhD thesis, 2018

Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results.

Matthieu Zimmer, Stéphane Doncieux

IEEE Trans. Cogn. Dev. Syst., 2018

Developmental Reinforcement Learning through Sensorimotor Space Enlargement.

Matthieu Zimmer, Yann Boniface, Alain Dutech

Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2016

Neural fitted actor-critic.

Matthieu Zimmer, Yann Boniface, Alain Dutech

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016