Reinforcement Learning in the Multi-Robot Domain-Reference-Cited by-同舟云学术

Reinforcement Learning in the Multi-Robot Domain

Published:1997 Issue: Volume: Page:73-83
ISSN:
Container-title:Robot Colonies
language:
Short-container-title:

Author:

Matarić Maja J.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4757-6451-2_4

Reference29 articles.

1. Asada, M., Uchibe, E., Noda, S., Tawaratsumida, S., and Hosoda, K. 1994. Coordination of multiple behaviors acquired by a avisionbased reinforcement learning. In Proceedings IEEE/RSJ/GI International Conference on Intelligent Robots and Systems,Munich, Germany.

2. Atkeson, C.G. 1989. Using local models to control movement. In Proceedings, Neural Information Processing Systems Conference.

3. Atkeson, C.G., Aboaf, E.W., McIntyre, J., and Reinkensmeyer, D.J. 1988. Model-based robot learning. Technical Report AIM-1024, MIT.

4. Barto, A.G., Bradtke, Si.,. and Singh, S.P. 1993. Learning to act using real-time dynamic programming. Al Journal.

5. Brooks, R.A. 1986. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, RA-2: 14–23.

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