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Tham khảo tài liệu 'evolutionary robotics part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 352 Frontiers in Evolutionary Robotics 8. References Belding T.C. 1995 . The distributed genetic algorithm revisited Proc. of 6th International Conference on Genetic Algorithms pp. 114-121. Holland J.H. 1986 . Escaping brittleness the possibilities of general purpose learning algorithms applied to parallel rulebased system. Machine Learning II pp. 593-623. Ito K. Matsuno F. 2002 . A study of reinforcement learning for the robot with many degrees of freedom -Acquisition of locamotion patterns for multi legged robot- Proc. of IEEE International Conference on Robotics and Automation pp. 392-397. Mandelick B. Spiessens P. 1989 . Fine-grained parallel genetic algorithms Proc. of 3rd International Conference on Genetic Algorithms pp. 428-433. Muhlenbein H. Schomisch M. Born J. 1991 . The parallel genetic algorithm as function optimizer Proc. of 4th Int l Conf on Genetic Algorithms pp. 271-278. Murata T. Aoki Y. 2007 . Developing Control Table for Multiple Agents Using GA-Based Q-Learning With Neighboring Crossover Proc. of IEEE Congress on Evolutionary Computation 2007 pp. 1462-1467. Murata T. Ishibuchi H. Gen M. 2000 . Cellular genetic local search for multi-objective optimization Proc. of Genetic and Evolutionary Computation Conference 2000 pp. 307314. Murata T. Yamaguchi M. 2005 . Neighboring Crossover to Improve GA-Based Q-Learning Method for Multi-Legged Robot Control Proc. of Genetic and Evolutionary Computation 2005 pp. 145-146. Sutton R.S. 1988 . Reinforcement Learning An Introduction. The MIT Press. Svinin M. Ushio S. Yamada K. Ueda K. 2001 . An evolutionary approach to decentralized reinforcement learning for walking robots Proc. of 6th Int. Symp. on Artificial life and Robotics pp. 176-179. Tanese R. 1989 . Distributed genetic algorithms Proc. of 3rd Int l Conf on Genetic Algorithms pp. 434-439. Watkins C.J.C.H. Dayan P. 1992 . Technical note Q-learning Machine Learning Vol. 8 pp. 279-292. Yamada K. Ohkura K. Svinin M. Ueda K. 2001 . Adaptive segmentation of .