Integrating self-organizing neural network and motivated learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game

• Main Authors: TENG, Teck-Hou, TAN, Ah-Hwee, STARZYK, Janusz A., TAN, Yuan-Sin, TEOW, Loo-Nin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Games; Learning (artificial intelligence); Vectors; Neural networks; Real-time systems; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/6418; https://ink.library.smu.edu.sg/context/sis_research/article/7421/viewcontent/Self_Organiziing_Neural_Networks_MotivatedLearning_IJCNN_2014_pv.pdf
• Institution: Singapore Management University

Most non-trivial problems require the coordinated performance of multiple goal-oriented and time-critical tasks. Coordinating the performance of the tasks is required due to the dependencies among the tasks and the sharing of resources. In this work, an agent learns to perform a task using reinforce...