Reinforcement social learning of coordination in networked cooperative multiagent systems

AAAI Workshop - Technical Report

Volumn WS-14-09, Issue , 2014, Pages 8-14

  Hao, Jianye ^a   Huang, Dongping ^b   Cai, Yi ^b   Leung, Ho Fung ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; LEARNING ALGORITHMS; TOPOLOGY;

COMPLEX ENVIRONMENTS; COOPERATIVE ENVIRONMENT; COOPERATIVE MULTIAGENT SYSTEMS; LEARNING PERFORMANCE; MULTI-AGENT COORDINATIONS; OPTIMAL COORDINATION; TOPOLOGY PARAMETERS; UNDERLYING NETWORKS;

MULTI AGENT SYSTEMS;

EID: 84974799121     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Albert, R., and Barabasi, A.-L. 2002. Statistical mechanics of complex networks. Rev. Modern Phys. 74(1):47-97.
2. Barabasi, A.-L.; Albert, R.; and Jeong, H. 2000. Scale- free characteristics of random networks: The topology of the world-wide web. Physica A: Statistical Mechanics and its Applications 281(1):69-77.
3. Brafman, R. I., and Tennenholtz, M. 2004. Efficient learning equilibrium. Artificial Intelligence 159:27-47.
4. Claus, C., and Boutilier, C. 1998. The dynamics of reinforcement learning in cooperative multiagent systems. In AAAI'98, 746-752.
5. Hao, J. Y., and Leung, H. F. 2013. The dynamics of reinforcement social learning in cooperative multiagent systems. In IJCAI'13, 184-190. A A AI Press.
6. Kapetanakis, S., and Kudenko, D. 2002. Reinforcement learning of coordination in cooperative multiagent systems. In AAAI'02, 326-331.
7. Lauer, M., and Riedmiller, M. 2000. An algorithm for distributed reinforcement learning in cooperative multi-agent systems. In ICML'00, 535-542.
8. Matignon, L.; Laurent, G. J.; and For-Piat, N. L. 2008. A study of fmq heuristic in cooperative multi-agent games. In AAMAS'08 workshop: MSDM, 77-91.
9. Matignon, L.; Laurent, G. J.; and For-Piat, N. L. 2012. Independent reinforcement learners in cooperative markov games: A survey regarding coordination problems. Knowledge Engineering Review 27:1-31.
10. Olfati-Saber, R.; Fax, J. A.; and Murray, R. M. 2007. Consensus and cooperation in networked multi-agent systems. Proceedings of the IEEE 95(1):215-233.
11. Panait, L.; Sullivan, K.; and Luke, S. 2006. Lenient learners in cooperative multiagent systems. In AAMAS'06, 801-803.
12. Redner, S. 1998. How popular is your paper an empirical study of the citation distribution. Eur. Hpys. J. B. 4(2): 132- 134.
13. Villatoro, D.; Sabater-Mir, J.; and Sen, S. 2011. Social instruments for robust convention emergence. In IJCAI'll, 420-425.
14. Wang, X. F and Chen, G. R. 2003. Complex networks: small-world, scale-free and beyond. Circuits and Systems Magazine 3(1):6-20.
15. Wang, X., and Sandholm, T. 2002. Reinforcement learning to play an optimal nash equilibrium in team markov games. In NIPS'02, 1571-1578.
16. Watkins, C. J. C. H and Dayan, P. D. 1992. Q-learning. Machine Learning 279-292.