COOPERATIVE LEARNING BY POLICY-SHARING IN MULTIPLE AGENTS

Article Properties
Cite
Hwang, Kao-Shing, et al. “COOPERATIVE LEARNING BY POLICY-SHARING IN MULTIPLE AGENTS”. Cybernetics and Systems, vol. 40, no. 4, 2009, pp. 286-09, https://doi.org/10.1080/01969720902846955.
Hwang, K.-S., Lin, C.-J., & Lo, C.-Y. (2009). COOPERATIVE LEARNING BY POLICY-SHARING IN MULTIPLE AGENTS. Cybernetics and Systems, 40(4), 286-309. https://doi.org/10.1080/01969720902846955
Hwang KS, Lin CJ, Lo CY. COOPERATIVE LEARNING BY POLICY-SHARING IN MULTIPLE AGENTS. Cybernetics and Systems. 2009;40(4):286-309.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Title Advanced Robotics
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
1991
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence 2001
Proceedings of IEEE Transactions on Systems, Man and Cybernetics Conference (SMC 2006) 2006
ECML Workshop on Reinforcement Learning in Non-Stationary Environments 2005
Proceedings of 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) 2003
Citations
Title Journal Journal Categories Citations Publication Date
Market-level effects of firm-level adaptation and intermediation in networked markets of fresh foods: A case study in Colombia Agricultural Systems
  • Agriculture: Agriculture (General)
  • Agriculture: Plant culture
  • Agriculture
  • Agriculture: Agriculture (General)
10 2018
Policy sharing between multiple mobile robots using decision trees Information Sciences
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
8 2013
CONTINUOUS Q-LEARNING FOR MULTI-AGENT COOPERATION Cybernetics and Systems
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
2012
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled CONTINUOUS Q-LEARNING FOR MULTI-AGENT COOPERATION and was published in 2012. The most recent citation comes from a 2018 study titled Market-level effects of firm-level adaptation and intermediation in networked markets of fresh foods: A case study in Colombia. This article reached its peak citation in 2018, with 1 citations. It has been cited in 3 different journals. Among related journals, the Agricultural Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year