Our paper was accepted for NeurIPS2022 (Spotlight)

Our paper was accepted for presentation at NeurIPS2022 (Spotlight) . ◼︎書誌情報 Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu. “Generalized Decision Transformer for Offline Hindsight Information Matching”,  International Conference on Learning Representations (ICLR2022). ◼︎概要 How to extract as much learning signal from each trajectory data has been a key problem in reinforcement learning (RL), where sample…

当研究室の論文が人工知能学会論文誌に採録されました

◼Information タイトル:Transformerと自己教師あり学習を用いたシーン解釈手法の提案 著 者: 小林 由弥 鈴木 雅大 松尾 豊 掲載号:第37巻2号 J-STAGE ◼Overview Ability to understand surrounding environment based on its components, namely objects, is one of the most important cognitive ability for intelligent agents. Human beings are able to decompose sensory input, i.e. visual stimulation, into some components based on its meaning or relationships between…