Probabilistic guided exploration for reinforcement learning in self-organizing neural networks

• Main Authors: WANG, Peng, ZHOU, Weigui Jair, WANG, Di, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Reinforcement learning; self-organizing neural networks; guided exploration; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5467; https://ink.library.smu.edu.sg/context/sis_research/article/6470/viewcontent/ICA2018MineField.pdf
• Institution: Singapore Management University

Exploration is essential in reinforcement learning, which expands the search space of potential solutions to a given problem for performance evaluations. Specifically, carefully designed exploration strategy may help the agent learn faster by taking the advantage of what it has learned previously. H...