JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Preliminary Study of a Method for Learning Inference Rules Using Hierarchical Reinforcement Learning RGoal
Yuji ICHISUGIHidemoto NAKADATakahashi NAOTOTakashi SANO
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2020 Volume 2020 Issue AGI-014 Pages 09-

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Abstract

We propose a method to obtain correct inference rules from experience for an intel- ligent agent running in an environment. For each inference rule, the proposed method substitutes "efficiency to reach the correct answer" for "correctness." This proposed method learns the infer- ence rules using a hierarchical reinforcement learning method called RGoal. The whole architecture is biologically plausible. We believe the proposed method will be a basic principle of autonomous knowledge acquisition for artificial general intelligence.

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