Bootstrapping Q -Learning for Robotics From Neuro-Evolution Results
Zimmer, Matthieu, Doncieux, Stephane
Published in IEEE transactions on cognitive and developmental systems (01.03.2018)
Published in IEEE transactions on cognitive and developmental systems (01.03.2018)
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Journal Article
A survey on interpretable reinforcement learning
Glanois, Claire, Weng, Paul, Zimmer, Matthieu, Li, Dong, Yang, Tianpei, Hao, Jianye, Liu, Wulong
Published in Machine learning (01.08.2024)
Published in Machine learning (01.08.2024)
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Journal Article
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
Lin, Yijiong, Huang, Jiancong, Zimmer, Matthieu, Guan, Yisheng, Rojas, Juan, Weng, Paul
Published in IEEE robotics and automation letters (01.10.2020)
Published in IEEE robotics and automation letters (01.10.2020)
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Journal Article
Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning
Huang, Jiancong, Rojas, Juan, Zimmer, Matthieu, Wu, Hongmin, Guan, Yisheng, Weng, Paul
Published in IEEE robotics and automation letters (01.04.2021)
Published in IEEE robotics and automation letters (01.04.2021)
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Journal Article
Lightweight Structural Choices Operator for Technology Mapping
Grosnit, Antoine, Zimmer, Matthieu, Tutunov, Rasul, Li, Xing, Chen, Lei, Yang, Fan, Yuan, Mingxuan, Bou-Ammar, Haitham
Published in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)
Published in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)
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Conference Proceeding
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Xiong, Zheng, Vuorio, Risto, Beck, Jacob, Zimmer, Matthieu, Shao, Kun, Whiteson, Shimon
Published in arXiv.org (03.06.2024)
Published in arXiv.org (03.06.2024)
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Paper
Journal Article
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
Maraval, Alexandre, Zimmer, Matthieu, Grosnit, Antoine, Haitham Bou Ammar
Published in arXiv.org (22.12.2023)
Published in arXiv.org (22.12.2023)
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Paper
Journal Article
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis
Gorinski, Philip John, Zimmer, Matthieu, Lampouras, Gerasimos, Derrick Goh Xin Deik, Iacobacci, Ignacio
Published in arXiv.org (20.10.2023)
Published in arXiv.org (20.10.2023)
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Paper
Journal Article
Differentiable Logic Machines
Zimmer, Matthieu, Feng, Xuening, Glanois, Claire, Jiang, Zhaohui, Zhang, Jianyi, Weng, Paul, Li, Dong, Hao, Jianye, Liu, Wulong
Published in arXiv.org (05.07.2023)
Published in arXiv.org (05.07.2023)
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Paper
Journal Article
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
Maraval, Alexandre, Zimmer, Matthieu, Grosnit, Antoine, Tutunov, Rasul, Wang, Jun, Haitham Bou Ammar
Published in arXiv.org (30.05.2022)
Published in arXiv.org (30.05.2022)
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Paper
Journal Article
A Survey on Interpretable Reinforcement Learning
Glanois, Claire, Weng, Paul, Zimmer, Matthieu, Li, Dong, Yang, Tianpei, Hao, Jianye, Liu, Wulong
Published in arXiv.org (24.02.2022)
Published in arXiv.org (24.02.2022)
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Paper
Journal Article
Neuro-Symbolic Hierarchical Rule Induction
Glanois, Claire, Feng, Xuening, Jiang, Zhaohui, Weng, Paul, Zimmer, Matthieu, Li, Dong, Liu, Wulong
Published in arXiv.org (26.12.2021)
Published in arXiv.org (26.12.2021)
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Paper
Journal Article
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Lin, Yijiong, Huang, Jiancong, Zimmer, Matthieu, Rojas, Juan, Weng, Paul
Published in arXiv.org (15.11.2019)
Published in arXiv.org (15.11.2019)
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Paper
Journal Article
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
Christianos, Filippos, Papoudakis, Georgios, Zimmer, Matthieu, Coste, Thomas, Wu, Zhihao, Chen, Jingxuan, Khandelwal, Khyati, Doran, James, Feng, Xidong, Liu, Jiacheng, Xiong, Zheng, Luo, Yicheng, Hao, Jianye, Shao, Kun, Bou-Ammar, Haitham, Wang, Jun
Published in arXiv.org (22.12.2023)
Published in arXiv.org (22.12.2023)
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Paper
Journal Article
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Huang, Jiancong, Rojas, Juan, Zimmer, Matthieu, Wu, Hongmin, Guan, Yisheng, Weng, Paul
Published in arXiv.org (25.03.2021)
Published in arXiv.org (25.03.2021)
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Paper
Journal Article
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
Mower, Christopher E, Wan, Yuhui, Yu, Hongzhan, Grosnit, Antoine, Gonzalez-Billandon, Jonas, Zimmer, Matthieu, Wang, Jinlong, Zhang, Xinyu, Zhao, Yao, Zhai, Anbang, Liu, Puze, Palenicek, Daniel, Tateo, Davide, Cadena, Cesar, Hutter, Marco, Peters, Jan, Tian, Guangjian, Zhuang, Yuzheng, Shao, Kun, Quan, Xingyue, Hao, Jianye, Wang, Jun, Bou-Ammar, Haitham
Year of Publication 28.06.2024
Year of Publication 28.06.2024
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Journal Article