Adaptive, distributed control of constrained multi-agent systems

Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004

Volumn 3, Issue , 2004, Pages 1230-1231

  Bieniawski, Stefan ^a   Wolpert, David H ^b  

^a Department of Aeronautics and Astronautics Department of Mechanical Engineering and Industrial for Computational and Mathematical Engineering   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PRODUCT DISTRIBUTION (PD) THEORY; REINFORCEMENT LEARNING (RL) ALGORITHMS;

ADAPTIVE CONTROL SYSTEMS; CONSTRAINT THEORY; DISTRIBUTED PARAMETER CONTROL SYSTEMS; DISTRIBUTION OF GOODS; LEARNING ALGORITHMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

MULTI AGENT SYSTEMS;

EID: 4544289954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. J.E.Beasley. Or-library: distributing test problems by electronic mail. Journal of the Operational Research Society, 41 (11): 1069-1072, 1990. http://mscmga.ms.ic.ac.uk/info.html.
3. C. Fan Lee and D. H. Wolpert. Product distribution theory for the control of multi-agent systems. In The Third International Joint Conference on Autonomous Agents and Multi Agent Systems, 2004.
4. D. H. Wolpert. Bounded rational games, information theory, and statistical physics. In D. Braha and Y. Bar-Yam, editors, Complex Engineering Systems, 2004.
5. D. H. Wolpert and S. Bieniawski. Theory of distributed control using product distributions. 2004. Submitted to CDC.
6. D. H. Wolpert and K. Tumer. Optimal payoff functions for members of collectives. Advances in Complex Systems, 4(2/3):265-279, 2001.
7. D. H. Wolpert, K. Wheeler, and K. Tumer. General principles of learning-based multi-agent systems. In Proceedings of the Third International Conference of Autonomous Agents, pages 77-83, 1999.