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Jan Wöhlke
Jan Wöhlke
Bosch Center for Artificial Intelligence
在 de.bosch.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
A performance-based start state curriculum framework for reinforcement learning
J Wöhlke, F Schmitt, H van Hoof
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
222020
Hierarchies of planning and reinforcement learning for robot navigation
J Wöhlke, F Schmitt, H van Hoof
2021 IEEE international conference on robotics and automation (ICRA), 10682 …, 2021
172021
Model-based hand pose estimation for generalized hand shape with appearance normalization
J Wöhlke, S Li, D Lee
arXiv preprint arXiv:1807.00898, 2018
102018
Shared invariance control for constraint satisfaction in multi-robot systems
M Kimmel, J Pfort, J Wöhlke, S Hirche
The International Journal of Robotics Research 38 (10-11), 1268-1285, 2019
62019
Value refinement network (VRN)
J Wöhlke, F Schmitt, H van Hoof
22022
Learning Hierarchical Planning-Based Policies from Offline Data
J Wöhlke, F Schmitt, H van Hoof
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
12023
Method for training an agent
J van den Broek, H Van Hoof, JG Woehlke
US Patent App. 18/467,351, 2024
2024
Device and method for controlling a robot
JG Woehlke, F Schmitt, H Van Hoof
US Patent 11,934,176, 2024
2024
Reinforcement learning and planning for autonomous agent navigation: With a focus on sparse reward settings
JG Wöhlke
2024
Method for controlling an agent
D Barbieri, H Van Hoof, JG Woehlke
US Patent App. 18/054,260, 2023
2023
Device and method for controlling an agent
JG Woehlke, F Schmitt, H Van Hoof
US Patent App. 17/898,846, 2023
2023
Method and device for activating a technical unit
JG Woehlke, F Schmitt
US Patent App. 17/601,366, 2022
2022
Reinforcement learning and planning for autonomous agent navigation
JG Wöhlke
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