Multi-agent reinforcement learning based on quantum andant colony algorithm theory

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 3; pp. 1759 - 1764
• Main Authors: Jingweijia Tan, Xiang-Ping Meng, Tong Wang, Sheng-Bin Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Ant Colony Algorithm; Cognitive science; Collaboration; Computer science; Cybernetics; Information technology; Machine learning; Machine learning algorithms; Multiagent systems; Q-Learning; Quantum Algorithm; Quantum computing; Quantum mechanics
• ISBN: 9781424437023; 1424437024
• ISSN: 2160-133X
• DOI: 10.1109/ICMLC.2009.5212291

In this paper, a novel multi-agent reinforcement learning algorithm is proposed based on Q-Learning, ant colony algorithm and quantum algorithm. As in reinforcement learning algorithm, when the number of agents is large enough, all of the action selection methods will be failed: the speed of learnin...