| Prodmp: A unified perspective on dynamic and probabilistic movement primitives G Li, Z Jin, M Volpp, F Otto, R Lioutikov, G Neumann IEEE Robotics and Automation Letters 8 (4), 2325-2332, 2023 | 55 | 2023 |
| Specializing versatile skill libraries using local mixture of experts O Celik, D Zhou, G Li, P Becker, G Neumann Conference on Robot Learning, 2021, 1423-1433, 2022 | 40 | 2022 |
| Evaluation of CFD predictions using different turbulence models on a film cooled guide vane under experimental conditions Q Zhang, H Xu, J Wang, G Li, L Wang, X Wu, S Ma Turbo Expo: Power for Land, Sea, and Air 56710, V05AT10A010, 2015 | 14 | 2015 |
| MaIL: Improving Imitation Learning with Selective State Space Models X Jia, Q Wang, A Donat, B Xing, G Li, H Zhou, O Celik, D Blessing, ... Conference on Robot Learning, 2024, 2024 | 13* | 2024 |
| Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning G Li, H Zhou, D Roth, S Thilges, F Otto, R Lioutikov, G Neumann ICLR 2024, 2024 | 9 | 2024 |
| Mp3: Movement primitive-based (re-) planning policy F Otto, H Zhou, O Celik, G Li, R Lioutikov, G Neumann CoRL 2023 Workshop on Learning Effective Abstractions for Planning., 2023 | 8 | 2023 |
| Predicting adiabatic film effectiveness of a turbine vane by two-equation turbulence models P Prapamonthon, H Xu, J Wang, G Li Turbo Expo: Power for Land, Sea, and Air 56727, V05BT12A019, 2015 | 4 | 2015 |
| Variational Distillation of Diffusion Policies into Mixture of Experts H Zhou, D Blessing, G Li, O Celik, X Jia, G Neumann, R Lioutikov Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024 | 2 | 2024 |
| TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning G Li, D Tian, H Zhou, X Jiang, R Lioutikov, G Neumann ICLR 2025 Spotlight, 2025 | 1 | 2025 |
| An encoder-decoder architecture for smooth motion generation Z Lončarević, G Li, G Neumann, A Gams International Conference on Robotics in Alpe-Adria Danube Region, 358-366, 2023 | 1 | 2023 |
| Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns D Tian, G Li, H Zhou, O Celik, G Neumann arXiv preprint arXiv:2503.03660, 2025 | | 2025 |
| Towards Fusing Point Cloud and Visual Representations for Imitation Learning A Donat, X Jia, X Huang, A Taranovic, D Blessing, G Li, H Zhou, H Zhang, ... arXiv preprint arXiv:2502.12320, 2025 | | 2025 |
| IRIS: An Immersive Robot Interaction System X Jiang, Q Yuan, EU Dincer, H Zhou, G Li, X Li, J Haag, N Schreiber, K Li, ... arXiv preprint arXiv:2502.03297, 2025 | | 2025 |
| DIME: Diffusion-Based Maximum Entropy Reinforcement Learning O Celik, Z Li, D Blessing, G Li, D Palanicek, J Peters, G Chalvatzaki, ... arXiv preprint arXiv:2502.02316, 2025 | | 2025 |
| BMP: Bridging the Gap between B-Spline and Movement Primitives W Liao, G Li, H Zhou, R Lioutikov, G Neumann 2nd CoRL Workshop on Learning Effective Abstractions for Planning, 2024 | | 2024 |
| Diffusion-Based Maximum Entropy Reinforcement Learning O Celik, Z Li, D Blessing, G Li, D Palenicek, J Peters, G Chalvatzaki, ... 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities, 0 | | |
Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of TechnologyPreverjeni e-poštni naslov na kit.edu