1 |
H.-U. Yoon and K.-B. Sim, 'Hexagon-based Q-Iearning for object search with multiple robots,' in Proc. of the 1st international Conference on Natural Computation, 2005, pp.713-722
|
2 |
Richard S. Sutton and Andrew G. Barto, Reinforcement Learning, MIT press
|
3 |
S. Russell and P. Norvig, Artificial Intelligence: a Modern Approach, New Jersey: Prentice Hall, 2003, pp. 287-295
|
4 |
J. Jang, C. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing, New Jersey: Prentice Hall, 1997, pp. 258-273
|
5 |
R. Kurozumi, S. Fujisawa, T. Yamamoto, and Y. Suita, 'Path planning for mobile robots using an improved reinforcement learning scheme,' in Proc. of the Society of Instrument and Control Engineers, 2002, pp. 2178-2183
DOI
|
6 |
H.-U. Yoon, S.-H. Whang, D.-W. Kim, and K.-B. Sim, 'Strategy of cooperative behaviors for distributed autonomous robotics systems,' in Proc. of the 10th International Symposium on Artificial Life and Robotics, 2005,pp.151-154
|
7 |
P. L. Lanzi, 'A study of generalization capabilities of XCS,' in Proc. of the 7th International Conference on Genetic Algorithms, 1997, pp. 418-425
|