Learning cooperative grasping with the graph representation of a state-action space

Author:

Ferch Markus,Zhang Jianwei

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference18 articles.

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2. Decision theoretic planning: Structural assumptions and computational leverage;Boutilier;Journal of Artificial Intelligence Research,1999

3. S.J. Bradtke, Reinforcement learning applied to linear quadratic regulation, in: C.L. Giles, S.J. Hanson, J.D. Cowan (Eds.), Advances in Neural Information Processing Systems, Vol. 5, Proceedings of the IEEE Conference in Denver, Morgan Kaufmann, San Mateo, CA, 1993, pp. 295–302.

4. L.H. de Mello, Task sequence planning for robotic assembly, Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, 1989.

5. Reinforcement learning: A survey;Kaelbling;Journal of Artificial Intelligence Research,1996

Cited by 3 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. Robust sensor-based grasp primitive for a three-finger robot hand;2009 IEEE/RSJ International Conference on Intelligent Robots and Systems;2009-10

2. A machine-learning approach to multi-robot coordination;Engineering Applications of Artificial Intelligence;2008-04

3. A two-arm situated artificial communicator for human-robot cooperative assembly;IEEE Transactions on Industrial Electronics;2003-08

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