Composing Diverse Policies for Temporally Extended Tasks

Author:

Angelov DanielORCID,Hristov Yordan,Burke MichaelORCID,Ramamoorthy Subramanian

Funder

Engineering and Physical Sciences Research Council

CDT in Robotics and Autonomous Systems at Heriot-Watt University and The University of Edinburgh

Alan Turing Institute sponsored project on Safe AI for Surgical Assistance

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic movement primitives in robotics: A tutorial survey;The International Journal of Robotics Research;2023-09-23

2. Recent Trends in Task and Motion Planning for Robotics: A Survey;ACM Computing Surveys;2023-07-13

3. Learning rewards from exploratory demonstrations using probabilistic temporal ranking;Autonomous Robots;2023-07-10

4. Automatic extension of a symbolic mobile manipulation skill set;Robotics and Autonomous Systems;2023-07

5. Efficient Learning of High Level Plans from Play;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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