| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, A Wahid, ... | 1768 | 2023 |
| Using machine learning to focus iterative optimization F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ... International Symposium on Code Generation and Optimization (CGO'06), 11 pp.-305, 2006 | 537 | 2006 |
| Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009 | 477 | 2009 |
| Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012 | 415 | 2012 |
| Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. M Toussaint IJCAI, 1930-1936, 2015 | 378 | 2015 |
| On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar Proceedings of Robotics: Science and Systems VIII, 2012 | 377 | 2012 |
| Differentiable physics and stable modes for tool-use and manipulation planning MA Toussaint, KR Allen, KA Smith, JB Tenenbaum Robotics: Science and systems foundation, 2018 | 341 | 2018 |
| Probabilistic inference for solving discrete and continuous state Markov Decision Processes M Toussaint, A Storkey Proceedings of the 23rd international conference on Machine learning, 945-952, 2006 | 310 | 2006 |
| Exploration in model-based reinforcement learning by empirically estimating learning progress M Lopes, T Lang, M Toussaint, PY Oudeyer Advances in neural information processing systems 25, 2012 | 253 | 2012 |
| Multi-class image segmentation using conditional random fields and global classification N Plath, M Toussaint, S Nakajima Proceedings of the 26th annual international conference on machine learning …, 2009 | 232 | 2009 |
| Gaussian process implicit surfaces for shape estimation and grasping S Dragiev, M Toussaint, M Gienger 2011 IEEE International Conference on Robotics and Automation, 2845-2850, 2011 | 216 | 2011 |
| A no-free-lunch theorem for non-uniform distributions of target functions C Igel, M Toussaint Journal of Mathematical Modelling and Algorithms 3, 313-322, 2005 | 172 | 2005 |
| Probabilistic recurrent state-space models A Doerr, C Daniel, M Schiegg, NT Duy, S Schaal, M Toussaint, ... International conference on machine learning, 1280-1289, 2018 | 151 | 2018 |
| Probabilistic inference as a model of planned behavior. M Toussaint Künstliche Intell. 23 (3), 23-29, 2009 | 151 | 2009 |
| Inverse KKT: Learning cost functions of manipulation tasks from demonstrations P Englert, NA Vien, M Toussaint The International Journal of Robotics Research 36 (13-14), 1474-1488, 2017 | 145 | 2017 |
| Safe exploration for active learning with Gaussian processes J Schreiter, D Nguyen-Tuong, M Eberts, B Bischoff, H Markert, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 143 | 2015 |
| On classes of functions for which no free lunch results hold C Igel, M Toussaint arXiv preprint cs/0108011, 2001 | 137 | 2001 |
| Deep visual reasoning: Learning to predict action sequences for task and motion planning from an initial scene image D Driess, JS Ha, M Toussaint arXiv preprint arXiv:2006.05398, 2020 | 121 | 2020 |
| Probabilistic inference for solving (PO) MDPs M Toussaint, S Harmeling, A Storkey Technical Report EDI-INF-RR-0934, School of Informatics, University of Edinburgh, 2006 | 114 | 2006 |
| Hierarchical POMDP Controller Optimization by Likelihood Maximization. M Toussaint, L Charlin, P Poupart UAI 24, 562-570, 2008 | 111 | 2008 |
Andreas OrtheyRealtime Roboticsrtr.ai의 이메일 확인됨