Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations C Li, M Vlastelica, S Blaes, J Frey, F Grimminger, G Martius Conference on Robot Learning (CoRL), 2022 | 57 | 2022 |
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions C Li, S Blaes, P Kolev, M Vlastelica, J Frey, G Martius IEEE International Conference on Robotics and Automation (ICRA), 2023 | 26 | 2023 |
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition E Debenedetti, J Rando, D Paleka, SF Florin, D Albastroiu, N Cohen, ... arXiv preprint arXiv:2406.07954, 2024 | 9 | 2024 |
Learning diverse skills for local navigation under multi-constraint optimality J Cheng, M Vlastelica, P Kolev, C Li, G Martius 2024 IEEE International Conference on Robotics and Automation (ICRA), 5083-5089, 2024 | 7 | 2024 |
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning C Li, E Stanger-Jones, S Heim, S Kim arXiv preprint arXiv:2402.13820, 2024 | 6 | 2024 |
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning K Bao, C Li, Y As, A Krause, M Hutter arXiv preprint arXiv:2502.01521, 2025 | | 2025 |
Learning More With Less: Sample Efficient Dynamics Learning and Model-Based RL for Loco-Manipulation B Hoffman, J Cheng, C Li, S Coros arXiv preprint arXiv:2501.10499, 2025 | | 2025 |
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics C Li, A Krause, M Hutter arXiv preprint arXiv:2501.10100, 2025 | | 2025 |