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

• Main Authors: Wang, Peng, Zhou, Weigui Jair, Wang, Di, Tan, Ah-Hwee
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2019
• 主題: Reinforcement Learning; Self-organizing Neural Networks; Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/89871; http://hdl.handle.net/10220/49724

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...