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2020 – today
- 2023
[j4]Takato Okudo
, Seiji Yamada:
Learning Potential in Subgoal-Based Reward Shaping. IEEE Access 11: 17116-17137 (2023)- [c5]Mari Saito, Takato Okudo, Makoto Yamada, Seiji Yamada:
Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. ICAART (2) 2023: 55-64 - 2021
- [j3]Takato Okudo, Seiji Yamada:
Subgoal-Based Reward Shaping to Improve Efficiency in Reinforcement Learning. IEEE Access 9: 97557-97568 (2021) - [j2]Masanori Fujita, Takato Okudo, Takao Terano, Hiromi S. Nagane:
Analyzing Two Approaches in Interdisciplinary Research: Individual and Collaborative. J. Adv. Comput. Intell. Intell. Informatics 25(3): 301-309 (2021) - [c4]Takato Okudo, Seiji Yamada:
Online Learning of Shaping Reward with Subgoal Knowledge. AAMAS 2021: 1613-1615 - [c3]Takato Okudo, Seiji Yamada:
Reward Shaping with Dynamic Trajectory Aggregation. IJCNN 2021: 1-9 - [i3]Takato Okudo, Seiji Yamada:
Reward Shaping with Dynamic Trajectory Aggregation. CoRR abs/2104.06163 (2021) - [i2]Takato Okudo, Seiji Yamada:
Reward Shaping with Subgoals for Social Navigation. CoRR abs/2104.06410 (2021) - [i1]Takato Okudo, Seiji Yamada:
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning. CoRR abs/2104.06411 (2021)
2010 – 2019
- 2018
- [c2]Takato Okudo, Tomohiro Yamaguchi, Keiki Takadama:
Generating Learning Environments Derived from Found Solutions by Adding Sub-goals Toward the Creative Learning Support. HCI (5) 2018: 313-330 - 2017
- [j1]Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama:
Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. J. Adv. Comput. Intell. Intell. Informatics 21(5): 907-916 (2017) - [c1]Takato Okudo, Keiki Takadama, Tomohiro Yamaguchi:
Designing the Learning Goal Space for Human Toward Acquiring a Creative Learning Skill. HCI (4) 2017: 62-73
Coauthor Index
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