Tomohiro Yamaguchi, Yuto Kawabuchi, Shota Takahashi, Yoshihiro Ichikawa, Keiki Takadama. Formalizing Model-Based Multi-Objective Reinforcement Learning With a Reward Occurrence Probability Vector. Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning. 2022. 299-330
Tomohiro Yamaguchi, Shota Nagahama, Yoshihiro Ichikawa, Yoshimichi Honma, Keiki Takadama. Model-Based Multi-Objective Reinforcement Learning by a Reward Occurrence Probability Vector. Advanced Robotics and Intelligent Automation in Manufacturing. 2020. 269-295
Tomohiro Yamaguchi, Shota Nagahama, Yoshihiro Ichikawa, Keiki Takadama. Model-Based Multi-objective Reinforcement Learning with Unknown Weights. Human Interface and the Management of Information. Information in Intelligent Systems - Thematic Area. 2019. 311-321
Yoshihiro Ichikawa, Satsuki Ayaya, Shinichiro Kumagaya, Fumihide Tanaka. Investigating Self-disclosure and the Amount of Speaking in an Online Meeting Under the Rule of Casual Talking and Casual Listening. ACHI 2017: THE TENTH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER-HUMAN INTERACTIONS. 2017. 68-73
Investigating Self-disclosure and the Amount of Speaking in an Online Meeting Under the Rule of Casual Talking and Casual Listening
(The Tenth International Conference on Advances in Computer-Human Interactions (ACHI2017) 2017)