LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results. - Taro Konda; Shinjiro Tensyo; Tomohiro Yamaguchi 002 (PRICAI, 2002)

LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria. - Taro Konda; Tomohiro Yamaguchi 002 (PRICAI, 2002)

Mutual Learning of Mind Reading between a Human and a Life-Like Agent. - Seiji Yamada; Tomohiro Yamaguchi 002 (PRIMA, 2002)

Multiple-Timescale PIA for Model-Based Reinforcement Learning. - Tomohiro Yamaguchi 002; Eri Imatani (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Towards Understanding of Relationship among Pareto Optimal Solutions in Multi-dimensional Space via Interactive System. - Keiki Takadama; Yuya Sawadaishi; Tomohiro Harada; Yoshihiro Ichikawa; Keiji Sato; Kiyohiko Hattori; Hiroyuki Sato; Tomohiro Yamaguchi 002 (HCI (15), 2013)

Modeling a Human's Learning Processes to Support Continuous Learning on Human Computer Interaction. - Kouki Takemori; Tomohiro Yamaguchi 002; Kazuki Sasaji; Keiki Takadama (HCI (13), 2013)

Visualizing Mental Learning Processes with Invisible Mazes for Continuous Learning. - Tomohiro Yamaguchi 002; Kouki Takemori; Keiki Takadama (HCI (13), 2014)

Sightseeing plan recommendation system using sequential pattern mining based on adjacent activities. - Takuma Fujitsuka; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama; Tomohiro Yamaguchi 002 (ASCC, 2015)

Analyzing human's continuous learning processes with the reflection sub task. - Tomohiro Yamaguchi 002; Kouki Takemori; Yuki Tamai; Keiki Takadama (ASCC, 2015)

Analyzing human's continuous learning ability with the reflection cost. - Tomohiro Yamaguchi 002; Yuki Tamai; Keiki Takadama (IECON, 2015)

Awareness Based Recommendation: Passively Interactive Learning System. - Tomohiro Yamaguchi 002; Takuma Nishimura; Keiki Takadama (Int. J. Robotics Appl. Technol., 2016)

Designing the Learning Goal Space for Human Toward Acquiring a Creative Learning Skill. - Takato Okudo; Keiki Takadama; Tomohiro Yamaguchi 002 (HCI (4), 2017)

Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. - Takato Okudo; Tomohiro Yamaguchi 002; Akinori Murata; Takato Tatsumi; Fumito Uwano; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Generating Learning Environments Derived from Found Solutions by Adding Sub-goals Toward the Creative Learning Support. - Takato Okudo; Tomohiro Yamaguchi 002; Keiki Takadama (HCI (5), 2018)

Model-Based Multi-objective Reinforcement Learning with Unknown Weights. - Tomohiro Yamaguchi 002; Shota Nagahama; Yoshihiro Ichikawa; Keiki Takadama (HCI (5), 2019)