Markov tracking for agent coordination

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Markov tracking for agent coordination

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International Conference on Autonomous Agents archive
Proceedings of the second international conference on Autonomous agents table of contents

Minneapolis, Minnesota, United States

Pages: 70 - 77

Year of Publication: 1998

ISBN:0-89791-983-1

Author

Richard Washington

Caelum Research, NASA Ames Research Center, MS 269-2, Moffett Field, CA

Sponsors

IEEE : Institute of Electrical and Electronics Engineers
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 24, Citation Count: 4

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	J. F. Allen, H. A. Kautz, R. N. Pelavin, and J. D. Tenenberg. Reasoning about Plans. Morgan Kaufmann Publishers, Inc., 1991.
	2	Richard Ernest Bellman, Dynamic Programming, Dover Publications, Incorporated, 2003
	3	R, Dannenberg. An on-line algorithm for real-time accompaniment. In Proceedings of the 198j International Computer Music Oonfarence, pages 193-198. Computer Music Association, 1984.
	4	A. Gelb, Applied Optimal Estimation. M.I.T. Press, 1980,
	5	M. L. Littman, A. Cassandra, and L. P. Kaelbling. Learning policies for partially observable environments: Scaling up. In A. Prieditis and S. Russell, editors, Proceedings of the Twelfth International Conference on Maddna Learning, pages 362-370, San Francisco, CA, 1995. Morgan Kaufmann.
	6	William S. Lovejoy, A survey of algorithmic methods for partially observed Markov decision processes, Annals of Operations Research, v.28 n.1-4, p.47-66, April 1991 [doi>10.1007/BF02055574]
	7	G, E, Monahan. A survey of partially observable Markov decision processes: Theory, models, and algorithms, Management Science, 28(1):1-16, 1982.
	8	tL Parr and S. Russell. Approximating optimal policies for partially observable stochastic domains. In Proceedtags of IJOAI.95, 1995.
	9	A. S. Rao. Means-end plan recognition: Towards a theory of reactive recognition. In Proceedings of KR- 9d, the Fourth International Conference on Principles of Knowledge Representation and Reasoning, 1994.
	10	tL Simmons and S. Koenig. Probabilistic robot navigation in partially observable environments. In Proceedings oI IJCAI-95, 1995.
	11	M. Tambe. Tracking dynamic team activity. In Pro. ceedings of AAAI-96, 1996.
	12	M. Tambe and P. $. Rosenbloom. RESC: An approach for real-time, dynamic agent tracking. In Proceedings of IJOAI.95, 1995.
	13	Richard Washington, Incremental Markov-Model Planning, Proceedings of the 8th International Conference on Tools with Artificial Intelligence (ICTAI '96), p.41, November 16-19, 1996
	14	Richard Washington, BI-POMDP: Bounded, Incremental, Partially-Observable Markov-Model Planning, Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning, p.440-451, September 24-26, 1997
	15	Chelsea C. White, III, A Survey of solution techniques for the partially observed Markov decision process, Annals of Operations Research, v.32 n.1-4, p.215-230, July 1991 [doi>10.1007/BF02204836]
	16	B. C. Williams and P. P. Nayak. A model-based approach to reactive serf-configuring systems. In Proceed. ings of AAAI-96, pages 971-978, 1996.

CITED BY 4

	Zinovi Rabinovich , Jeffrey S. Rosenschein, Multiagent coordination by Extended Markov Tracking, Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, July 25-29, 2005, The Netherlands
	Gal Kaminka , Milind Tambe, I'm OK, you're OK, we're OK: experiments in distributed and centralized socially attentive monitoring, Proceedings of the third annual conference on Autonomous Agents, p.213-220, April 1999, Seattle, Washington, United States
	Joaquín L. Fernández , Rafael Sanz , Reid G. Simmons , Amador R. Diéguez, Heuristic anytime approaches to stochastic decision processes, Journal of Heuristics, v.12 n.3, p.181-209, May 2006
	Gal A. Kaminka , Milind Tambe, Robust agent teams via socially-attentive monitoring, Journal of Artificial Intelligence Research, v.12 n.1, p.105-147, February 2000