| A survey on interpretable reinforcement learning C Glanois, P Weng, M Zimmer, D Li, T Yang, J Hao, W Liu Machine Learning 113 (8), 5847-5890, 2024 | 120 | 2024 |
| 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 | 112 | 2020 |
| Teacher-student framework: a reinforcement learning approach M Zimmer, P Viappiani, P Weng AAMAS Workshop Autonomous Robots and Multirobot Systems, 2014 | 88 | 2014 |
| 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 | 71 | 2021 |
| 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 | 51 | 2020 |
| 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 | 37 | 2022 |
| Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results M Zimmer, S Doncieux IEEE Transactions on Cognitive and Developmental Systems, 2017 | 31 | 2017 |
| 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 | 30 | 2021 |
| 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, 11246-11260, 2023 | 21 | 2023 |
| 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 | 18 | 2023 |
| Neural Fitted Actor-Critic M Zimmer, Y Boniface, A Dutech ESANN - European Symposium on Artificial Neural Networks, Computational …, 2016 | 16 | 2016 |
| Developmental reinforcement learning through sensorimotor space enlargement M Zimmer, Y Boniface, A Dutech International Conference on Development and Learning and on Epigenetic Robotics, 2018 | 15 | 2018 |
| 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 | 13 | 2019 |
| Ros-llm: A ros framework for embodied ai with task feedback and structured reasoning CE Mower, Y Wan, H Yu, A Grosnit, J Gonzalez-Billandon, M Zimmer, ... arXiv preprint arXiv:2406.19741, 2024 | 11 | 2024 |
| 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 | 11 | 2021 |
| Apprentissage par renforcement développemental M Zimmer Université de Lorraine, 2018 | 11 | 2018 |
| 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 | 5 | 2019 |
| 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 | 2 | 2024 |
| Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis PJ Gorinski, M Zimmer, G Lampouras, DGX Deik, I Iacobacci arXiv preprint arXiv:2310.13669, 2023 | 2 | 2023 |
| Lightweight structural choices operator for technology mapping A Grosnit, M Zimmer, R Tutunov, X Li, L Chen, F Yang, M Yuan, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 2 | 2023 |
Paul WengDuke Kunshan UniversityDirección de correo verificada de duke.edu
