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Hongyi Zhou
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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
242023
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
12*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 Thirteenth International Conference on Learning Representations (ICLR 2024), 2024
62024
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
62023
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
32022
Variational Distillation of Diffusion Policies into Mixture of Experts
H Zhou, D Blessing, G Li, O Celik, X Jia, G Neumann, R Lioutikov
38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
12024
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
12023
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
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, ...
arXiv preprint arXiv:2411.05718, 2024
2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
G Li, D Tian, H Zhou, X Jiang, R Lioutikov, G Neumann
arXiv preprint arXiv:2410.09536, 2024
2024
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 {\textemdash} Back to the Future: Robot Learning Going …, 0
MP3: Movement Primitive-Based (Re-) Planning Policy
H Zhou, F Otto, O Celik, G Li, R Lioutikov, G Neumann
CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 0
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