Self-organizing neural architectures and cooperative learning in a multiagent environment

• المؤلفون الرئيسيون: XIAO, Dan, TAN, Ah-hwee
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2007
• الموضوعات: Multiagent cooperative learning; reinforcement learning (RL); self-organizing neural architectures; Computer and Systems Architecture; Computer Engineering; Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/5221; https://ink.library.smu.edu.sg/context/sis_research/article/6224/viewcontent/MA20TSMC_B07.pdf

Temporal-Difference–Fusion Architecture for Learning, Cognition, and Navigation (TD-FALCON) is a generalization of adaptive resonance theory (a class of self-organizing neural networks) that incorporates TD methods for real-time reinforcement learning. In this paper, we investigate how a team of TD-...