A hybrid agent architecture integrating desire, intention and reinforcement learning

• Main Authors: TAN, Ah-hwee, ONG, Yew-Soon, TAPANUJ, Akejariyawong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: BDI architecture; Reinforcement learning; Plan learning; Self-organizing neural networks; Minefield navigation; Computer and Systems Architecture; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5244; https://ink.library.smu.edu.sg/context/sis_research/article/6247/viewcontent/1_s2.0_S0957417411000650_main.pdf
• Institution: Singapore Management University

This paper presents a hybrid agent architecture that integrates the behaviours of BDI agents, specifically desire and intention, with a neural network based reinforcement learner known as Temporal DifferenceFusion Architecture for Learning and COgNition (TD-FALCON). With the explicit maintenance of...