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 | 22 | 2020 |
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 | 17 | 2021 |
Model-based hand pose estimation for generalized hand shape with appearance normalization J Wöhlke, S Li, D Lee arXiv preprint arXiv:1807.00898, 2018 | 10 | 2018 |
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 | 6 | 2019 |
Value refinement network (VRN) J Wöhlke, F Schmitt, H van Hoof | 2 | 2022 |
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 | 1 | 2023 |
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 | | |