| Deep black-box reinforcement learning with movement primitives F Otto, O Celik, H Zhou, H Ziesche, VA Ngo, G Neumann Conference on Robot Learning, 1244-1265, 2023 | 29 | 2023 |
| 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, ... 8th Annual Conference on Robot Learning, 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 The Twelfth International Conference on Learning Representations, 2024 | 9 | 2024 |
| Mp3: Movement primitive-based (re-) planning policy F Otto, H Zhou, O Celik, G Li, R Lioutikov, G Neumann arXiv preprint arXiv:2306.12729, 2023 | 8 | 2023 |
| Hiro: Heuristics informed robot online path planning using pre-computed deterministic roadmaps X Huang, G Sóti, H Zhou, C Ledermann, B Hein, T Kröger 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 3 | 2022 |
| 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 37, 12739-12766, 2025 | 2 | 2025 |
| TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning G Li, D Tian, H Zhou, X Jiang, R Lioutikov, G Neumann The Thirteenth International Conference on Learning Representations, 2024 | 1 | 2024 |
| Air Hockey Challenge 2023: Air-HocKIT Team Report M de Bakker3Atalay, DOE Yagmurlu, Y MFZJD, H Zhou, X Jia, O Celik, ... Air Hockey Challenge at Advances in neural information processing systems, 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 |
| X-IL: Exploring the Design Space of Imitation Learning Policies X Jia, A Donat, X Huang, X Zhao, D Blessing, H Zhou, H Zhang, HA Wang, ... arXiv preprint arXiv:2502.12330, 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 |
| A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics P Liu, J Günster, N Funk, S Gröger, D Chen, H Bou Ammar, J Jankowski, ... Advances in Neural Information Processing Systems 37, 9690-9726, 2024 | | 2024 |
| BMP: Bridging the Gap between B-Spline and Movement Primitives W Liao, G Li, H Zhou, R Lioutikov, G Neumann CoRL 2024 Workshop on Learning Effective Abstractions for Planning (LEAP), 2024 | | 2024 |
| FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies M Reuss, H Zhou, M Rühle, ÖE Yağmurlu, F Otto, R Lioutikov 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities, 0 | | |
| Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning G Li, H Zhou, D Roth, S Thilges, F Otto, R Lioutikov, G Neumann ICRA 2024 Workshop Back to the Future: Robot Learning Going Probabilistic, 0 | | |
Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of TechnologyVerified email at kit.edu
