SUNA によるシミュレーション上での二足歩行動作学習

Translated title of the contribution: Learning to Bipedal Walking on Simulation with SUNA

井上 湧太, ヴァルガス ダニロ

Research output: Contribution to journalArticle

Abstract

<p>SUNA is currently one of the most adaptive neuroevolution methods which is able to tackle different problems efficiently. However, many questions remain unanswered. In this research, we applied SUNA to the bipedal-walking problem and evaluate it general learning properties. The results show that even without any modificiations SUNA is able to learn in this environment. Moreover, contrary to many other methods, it is continuously improving its average rewards showing a near open-ended learning.</p>
Original languageJapanese
Pages (from-to)1Z202-1Z202
Journal人工知能学会全国大会論文集
Volume2018
Issue number0
DOIs
Publication statusPublished - 2018
Externally publishedYes

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