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Biography
2


Prof. Kao-Shing Hwang

National Sun Yat-sen University, Chinese Taipei


Email: hwang@ccu.edu.tw


Qualifications


1993  Ph.D., Northwestern University, USA
1989  M. S., Northwestern University, USA



1981  B. S., National Cheng Kung University, Chinese Taipei


Publications (selected)


  1. K. S. Hwang, S. W. Tan, M. C. Shaio, and C. S. Wu, “A Reinforcement Learning Approach to Congestion Control of High-Speed Multimedia Networks," Cybernetics and System, an International Journal, Vo. 36, No. 2, pp. 181-202, 2005. (SCI, EI)
  2. K. S. Hwang, S. W. Tan, M. C. Shaio, and C. S. Wu, “Cooperative Multiagent Congestion Control for High-Speed Networks,”  IEEE transaction on Systems, man, and Cybernetics-Part B, Vol.35, No. 2, pp. 225-268, 2005. (SCI, EI)
  3. S. H. Su, M. Yokoyama, J. F. Li, and K. S. Hwang, “Improving the Luminous Efficiency of Red Organic Lighting-Emitting Diodes Using a Carrier Balance Layer,” Journal of Electrochemical Society, Vol. 153, pp. H51-H53, 2006. (SCI)
  4. J. F. Li, S. F. Chen, S. H. Su, M. Yokoyama, and K. S. Hwang, “Full Wave-length Organic Light Emitting Diodes with Blue Fluorescence and Phosphorescent Iridium Complexes,” Journal of Electrochemical Society, Vol. 153, pp. H195-H197, 2006. (SCI)
  5. J. F. Li, S. H. Su, K. S. Hwang, and, M. Yokoyama, “Effects of Hole Injection Layer Thickness on the Luminescent Properties of White Organic Light-Emitting Diodes,” Applied Surface Science, 253, pp 2522-2524, 2006. (SCI)
  6. J. F. Li, S. H. Su, K. S. Hwang, and, M. Yokoyama, “Effect of Laser-Etched Indium Tin Oxide on Optoelectrical Properties of Organic Light-Emitting Diodes”, Applied Surface Science, 253, pp. 5415-5418, 2006. (SCI)
  7. J. F. Li, S. H. Su, K. S. Hwang, and, M. Yokoyama,,“Enhancing the Contrast and Power Efficiency of Organic Light-Emitting Diodes using CuPc/TiOPc as an Anti-reflection Layer, J. Phys. D: Appl. Phys.,40, p. 2435-2439, 2007.(SCI)
  8. K. S. Hwang, Y. Z., Chen, “ Reinforcement Learning on Strategy Selection for Cooperative Robot System,” IEEE transaction on Systems, man, and Cybernetics-Part A. Vol. 37, No. 6, pp. 1151-1157, 2007. (SCI, EI)
  9. K. S. Hwang, C. Y. Lo, and C. Y. Lin, “Cooperative Learning by Policy Sharing in Multiple Agents,” Cybernetics and Systems, An International Journal, Vol. 40, 4, pp. 286 – 309, 2009.(SCI, EI)
  10. K. S. Hwang, C. Y. Lo, W. L. Liu, “Modular Agent Architecture for an Autonomous Robot,” IEEE Transactions on Instrumentation & Measurement. Vol. 58, No. 8, pp. 2797-2806, 2009. (SCI, EI)
  11. K. S. Hwang, W. H. Hsiao, G. T. Shing, K. J. Chen, “Rapid Prototyping Platform for Robotics Application”,  IEEE transaction on Education. (in press)
  12. K. S. Hwang, C. Y. Lo, and G. Y. Lee, “A Grey Synthesis Approach to Efficient Architecture Design for Temporal Difference Learning”, IEEE transaction on Mechatronics. (in press)
  13. K. S. Hwang, H. Y.  Lin, Y. P.  Hsu, H. H. Yu, “A Q-learning Design Based on Self-Organizing State Aggregation”, submitted to Information Sciences. (in press)
  14. K. S. Hwang, T. W. Yang, and C. Y. Lin , "Cooperation between Multiple Agents Based on Partially Sharing Policy". 2007 IEEE Conference on Systems, Man, and Cybernetics, Montreal, Canada, pp.3018-3043.
  15. K. S. Hwang, Y. J. Chen, “Treelike Function Approximator in Reinforcement Learning,”  2007 IEEE IECON, Taipei, Taiwan 318-321.
  16. K. S. Hwang, J. Y. Chiou ,“Object Tracking - An ART Based Phase Filtering Approach,” AROS 2008, Taipei, Taiwan.
  17. K. S. Hwang, Y. H. Lin, and C. Y. Lo, “Multi-agent Cooperation by Q-learning in Continuous Action Domain”, ICINIS 2008, Wu-Han, China, pp.356-360.
  18. K. S. Hwang, J. Y. Chiou, and T. Y. Chen, “Reinforcement Learning in Zero-Sum Markov Games for Robot Soccer Systems “ SICE 2008, Fukukan, Japan, pp. 1210-1214.
  19. K. S. Hwang, and C. Y. Lo, “Real-Valued Q-learning in Multi-agent Cooperation,” 2009 IEEE Conference on Systems, Man, and Cybernetics, Saint Antonio, USA, pp. 401-406.
  20. K. S. Hwang, et.al.,  “Behavioral-Fusion Control Based on Reinforcement Learning”, 2009 IEEE Conference on Systems, Man, and Cybernetics, Saint Antonio, USA, pp. 407-411.
  21. K. S. Hwang, et.al., “Adaptive State Partition for Reinforcement Learning,” SICE 2010, Taipei, Taiwan, pp. 679-683.
  22. K. S. Hwang, and C. Y. Lo, “Dyna-like Reinforcement Learning Based on Accumulative and Average Rewards”, 2010 IEEE Conference on Systems, Man, and Cybernetics, Istanbul, Turkey, pp. 1629-1633.
  23. K. S. Hwang, and Y. J. Chen, “ An Adaptive State Aggregation Approach to Q-learning with Real-valued Action Function,” 2010 IEEE Conference on Systems, Man, and Cybernetics, Istanbul, pp. 273-276., Turkey.


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