Achieving pareto optimality through distributed learning

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2012, Pages 7419-7424

  Marden, Jason R ^a   Young, H Peyton ^b   Pao, Lucy Y ^a  

^a UCB 450   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

WIND POWER;

DESIGN AND CONTROL; DISTRIBUTED COMPONENTS; DISTRIBUTED LEARNING; IN NETWORKS; LEARNING RULES; N-PERSON GAMES; PARETO-OPTIMALITY; WIND FARM;

PARETO PRINCIPLE;

EID: 84874249166     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2012.6426834     Document Type: Conference Paper

References (26)

1. G. Chasparis and J. Shamma, "Distributed dynamic reinforcement of efficient outcomes in multiagent coordination and network formation," 2011, discussion paper, Department of Electrical Engineering, Georgia Tech.
2. N. Li and J. R. Marden, "Decoupling coupled constraints through utility design," 2011, discussion paper, Department of ECEE, University of Colorado, Boulder.
3. - , "Designing games for distributed optimization," 2011, discussion paper, Department of ECEE, University of Colorado, Boulder.
4. J. R. Marden, "State based potential games," 2011, discussion paper, Department of ECEE, University of Colorado, Boulder.
5. R. Gopalakrishnan, J. R. Marden, and A. Wierman, "An architectural view of game theoretic control," ACM SIGMETRICS Performance Evaluation Review, vol. 38, no. 3, pp. 31-36, 2011.
6. J. R. Marden, G. Arslan, and J. S. Shamma, "Connections between cooperative control and potential games," IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics, vol. 39, pp. 1393-1407, December 2009.
7. G. Arslan, J. R. Marden, and J. S. Shamma, "Autonomous vehicletarget assignment: a game theoretical formulation," ASME Journal of Dynamic Systems, Measurement and Control, vol. 129, pp. 584-596, September 2007.
8. R. Johari, "The price of anarchy and the design of scalable resource allocation mechanisms," in Algorithmic Game Theory, N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani, Eds. Cambridge University Press, 2007.
9. R. S. Komali and A. B. MacKenzie, "Distributed topology control in ad-hoc networks: A game theoretic perspective," in Proceedings of IEEE Consumer Communication and Network Conference, 2007.
10. J. R. Marden, H. P. Young, G. Arslan, and J. S. Shamma, "Payoff ased dynamics for multi-player weakly acyclic games," SIAM Journal on Control and Optimization, vol. 48, pp. 373-396, February 2009.
11. J. R. Marden, G. Arslan, and J. S. Shamma, "Joint strategy fictitious play with inertia for potential games," IEEE Transactions on Automatic Control, vol. 54, pp. 208-220, February 2009.
12. H. P. Young, "Learning by trial and error," Games and Economic Behavior, vol. 65, pp. 626-643, 2009.
13. B. R. Pradelski and H. P. Young, "Learning efficient Nash equilibria in distributed systems," 2010, discussion paper, Department of Economics, University of Oxford.
14. L. S. Shapley, "Stochastic games," Proceedings of the National Academy of Sciences of the United States of America, vol. 39, no. 10, pp. 1095-1100, 1953.
15. D. Wolpert and K. Tumor, "An overview of collective intelligence," in Handbook of Agent Technology, J. M. Bradshaw, Ed. AAAI Press/MIT Press, 1999.
16. J. R. Marden and A. Wierman, "Distributed welfare games," 2008, discussion paper, Department of ECEE, University of Colorado, Boulder.
17. N. Nisan, T. Roughgarden, E. Tardos, and V. V. Vazirani, Algorithmic game theory. New York, NY, USA: Cambridge University Press, 2007.
18. K. E. Johnson and N. Thomas, "Wind farm control: Addressing the aerodynamic interaction among wind turbines," in Proceedings of the 2009 American Control Conference, 2009.
19. S. Hart and A. Mas-Colell, "Stochastic uncoupled dynamics and Nash equilibrium," Games and Economic Behavior, vol. 57, no. 2, pp. 286-303, 2006.
20. - , "Uncoupled dynamics do not lead to Nash equilibrium," American Economic Review, vol. 93, no. 5, pp. 1830-1836, 2003.
21. D. Foster and H. Young, "Regret testing: Learning to play Nash equilibrium without knowing you have an opponent," Theoretical Economics, vol. 1, pp. 341-367, 2006.
22. I. Arieli and Y. Babichenko, "Average testing and the efficient boundary," 2011, discussion paper, Department of Economics, University of Oxford and Hebrew University.
23. D. Fudenberg and E. Maskin, "The folk theorem in repeated games with discounting or with incomplete information," Econometrica, vol. 54, pp. 533-554, 1986.
24. M. Osborne and A. Rubinstein, A Course in Game Theory. Cambridge, MA: MIT Press, 1994.
25. D. Foster and H. Young, "Stochastic evolutionary games dynamics," Journal of Theoretical Population Biology, vol. 38, 219-232.
26. H. P. Young, "The evolution of conventions," Econometrica, vol. 61, no. 1, pp. 57-84, January 1993.