A distributed Q-learning algorithm for multi-agent team coordination

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 108-113

  Huang, Jing ^a   Yang, B ^a   Liu, Da You ^a  

^a NONE

Author keywords

Multi agent learning; Multi agent team; Q learning; Reinforcement learning

Indexed keywords

ALGORITHMS; GAME THEORY; MULTI AGENT SYSTEMS; PROBLEM SOLVING;

MULTI-AGENT LEARNING; MULTI-AGENT TEAM; Q-LEARNING; REINFORCEMENT LEARNING;

LEARNING SYSTEMS;

EID: 28444477011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Yang G, Chen S F, "Research on Reinforcement Learning Technology: A Review", ACTA AUTOMATICE SINICA, Vol.30, No.1, pp. 89-100, January 2004.
2. Guo Maozu, Wang Yadong, Sun Huamei and Liu Yang. "Research on Q-leaming Algorithm Based on Metropolis Criterion", Journal of Computer Research and Development, Vol.39, No.6, pp. 684-688, June 2002.
3. Sutton R S, Precup D, Singh S. "Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning", Artificial Intelligence, Vol.112, No. 1/2, pp. 181-211, 1999.
4. Guo Maozu, Chen Bin, Wang Xiaolong et al, "A summary on reinforcement learning", Computer Science, Vol.25, No.3, pp. 13-15, March 1998.
5. Kaelbling L P, Littman M L, Moore A W, "Reinforcement learning: A sursvey", Journal of Artificial Intelligence Research, Vol.4, No.2, pp. 237-285, February 1996.
6. Li Ning, Gao Yang, Lu Xin, Chen Shi-Fu, "A learning agent based on reinforcement learning", Computer Research and Development, Vol.38, No.9, pp. 1051-1056, September 2001.
7. Watkins, "Learning from delayed rewards" [PhD dissertation]. Psychology Department, Cambridge University, England, 1989.
8. Watkins P.Dayan, "Q-learning. Machine Learning", Vol.8, No. 3, pp. 279-292, March 1992.
9. Tsitsiklis, John N, "Asynchronous stochastic approximation and Q-learning", Machine Learning, Vol.16, No.3, pp. 185-202, March 1994.
10. Cai Qingsheng, Zhang Bo, "An Agent Team Based Reinforcement Learning Model AND Its Application" Journal of Computer Research and Development, Vol. 37, No. 9, pp. 1087-1093, September 2000.
11. Park Kui-Hong, Kim Yong-Jae, Kim Jong-Hwan, "Modular Q-learning based multi-agent cooperation for robot soccer", Robotics and Autonomous Systems, Vol.35, No. 2, pp. 109-122, February 2001.
12. M. Benda, V. Jagannathan, R. Dodhiawalla. On optimal cooperation of knowledge sources. Technical Report BCS-G2010-28, Boeing AI Center, Boeing Computer Services, Bellevue, WA, August 1985.
13. Thomas Haynes, Sandip Sen. Evolving behavioral strategies in predators and prey. In Gerhard Weiand Sandip Sen, editors, Adaptation and Learning in Multiagent Systems, pages 113-126. Springer Verlag, Berlin, 1996.