採択論文集

sngtjack 採択論文集 はコメントを受け付けていません

論文誌

  1. Fumito Uwano, Satoshi Hasegawa, Keiki Takadama. Inverse Reinforcement Learning with Agents’ Biased Exploration Based on Sub-optimal Sequential Action Data. Journal of Advanced Computational Intelligence and Intelligent Informatics, 28(2): 380-392, 2024.
    @article{fumito uwano 2024inverse,
  title={Inverse Reinforcement Learning with Agents’ Biased Exploration Based on Sub-optimal Sequential Action Data},
  author={Fumito Uwano and Satoshi Hasegawa and Keiki Takadama},
  journal={Journal of Advanced Computational Intelligence and Intelligent Informatics},
  year={2024},
  volume={28},
  number={2},
  pages={380--392},
  publisher={Fuji Technology Press Ltd.}
}

  2. 上野 史, 松本 典久, 太田 学. 福祉支援施設の支援記録からのBERTによるインシデントの予兆検出. 情報処理学会論文誌（テクニカルノート）, 64(11): 1561-1566, 2023.
    @article{史2023福祉支援施設の支援記録からのbertによるインシデントの予兆検出,
  title={福祉支援施設の支援記録からのBERTによるインシデントの予兆検出},
  author={史, 上野 and 典久, 松本 and 学, 太田},
  journal={情報処理学会論文誌（テクニカルノート）},
  year={2023},
  volume={64},
  number={11},
  pages={1561--1566},
  publisher={情報処理学会}
}

  3. 上野 史, 北島 瑛貴, 髙玉 圭樹. 多次元意見共有モデル上のシグモイド関数に基づく誤報防止アルゴリズム. 人工知能学会論文誌, 36(6)[: B-KB2_1-12], 2021.
    @article{史2021多次元意見共有モデル上のシグモイド関数に基づく誤報防止アルゴリズム,
  title={多次元意見共有モデル上のシグモイド関数に基づく誤報防止アルゴリズム},
  author={史, 上野 and 瑛貴, 北島 and 圭樹, 髙玉},
  journal={人工知能学会論文誌},
  year={2021},
  volume={36},
  number={6},
  pages={B-KB2\_1-12},
  publisher={人工知能学会}
}

  4. Fumito Uwano, Keiki Takadama. Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism. SN Computer Science, 1(3), 2020.
    @article{fumito uwano 2020reward,
  title={Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism},
  author={Fumito Uwano and Keiki Takadama},
  journal={SN Computer Science},
  year={2020},
  volume={1},
  number={3},
  pages={},
  publisher={Springer}
}

  5. 上野 史, 髙玉 圭樹. 目的制限に基づく通信なしマルチエージェント協調行動学習とその効果の証明. 電気学会論文誌C, 140(1): 75-84, 2020.
    @article{史2020目的制限に基づく通信なしマルチエージェント協調行動学習とその効果の証明,
  title={目的制限に基づく通信なしマルチエージェント協調行動学習とその効果の証明},
  author={史, 上野 and 圭樹, 髙玉},
  journal={電気学会論文誌C},
  year={2020},
  volume={140},
  number={1},
  pages={75--84},
  publisher={電気学会},
  doi={10.1541/ieejeiss.140.75}
}

  6. Uwano Fumito, Takadama Keiki. Utilizing Observed Information for No-Communication Multi-Agent Reinforcement Learning toward Cooperation in Dynamic Environment. SICE Journal of Control, Measurement, and System Integration, 12(5): 199-208, 2019.
    @article{fumito2019utilizing,
  title={Utilizing Observed Information for No-Communication Multi-Agent Reinforcement Learning toward Cooperation in Dynamic Environment},
  author={Fumito, Uwano and Keiki, Takadama},
  journal={SICE Journal of Control, Measurement, and System Integration},
  year={2019},
  volume={12},
  number={5},
  pages={199--208},
  publisher={SICE}
}

  7. Fumito Uwano, Naoki Tatebe, Yusuke Tajima, Masaya Nakata, Tim Kovacs, Keiki Takadama. Multi-Agent Cooperation Based on Reinforcement Learning with Internal Reward in Maze Problem. SICE Journal of Control, Measurement, and System Integration, 11(4): 321-330, 2018.
    @article{fumito uwano 2018multi,
  title={Multi-Agent Cooperation Based on Reinforcement Learning  with Internal Reward in Maze Problem},
  author={Fumito Uwano and Naoki Tatebe and Yusuke Tajima and Masaya Nakata and Tim Kovacs and Keiki Takadama},
  journal={SICE Journal of Control, Measurement, and System Integration},
  year={2018},
  volume={11},
  number={4},
  pages={321--330},
  publisher={SICE}
}

  8. Fumito Uwano, Rei Saito, Keiki Takadama. Weighted Opinion Sharing Model for Cutting Link and Changing Information among Agents as Dynamic Environment. SICE Journal of Control, Measurement, and System Integration, 11(4): 331-340, 2018.
    @article{fumito uwano 2018weighted,
  title={Weighted Opinion Sharing Model for Cutting Link and Changing Information among Agents as Dynamic Environment},
  author={Fumito Uwano and Rei Saito and Keiki Takadama},
  journal={SICE Journal of Control, Measurement, and System Integration},
  year={2018},
  volume={11},
  number={4},
  pages={331--340},
  publisher={SICE}
}

  9. Fumito Uwano, Yusuke Tajima, Akinori Murata, Keiki Takadama. Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration. Journal of Robotics and Mechatronics (JRM), 29(5): 877-886, 2017.
    @article{fumito uwano 2017recovery,
  title={Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration},
  author={Fumito Uwano and Yusuke Tajima and Akinori Murata and Keiki Takadama},
  journal={Journal of Robotics and Mechatronics (JRM)},
  year={2017},
  volume={29},
  number={5},
  pages={877--886},
  publisher={Fuji technology press LTD.}
}

  10. Fumito Uwano, Keiki Takadama. Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation. Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 12(9): 917-929, 2017.
    @article{fumito uwano 2017comparison,
  title={Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation},
  author={Fumito Uwano and Keiki Takadama},
  journal={Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)},
  year={2017},
  volume={12},
  number={9},
  pages={917--929},
  publisher={Fuji technology press LTD.}
}

  11. 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. Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 21(5): 907-916, 2017.
    @article{takato okudo 2017supporting,
  title={Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning},
  author={Takato Okudo and Tomohiro Yamaguchi and Akinori Murata and Takato Tatsumi and Fumito Uwano and Keiki Takadama},
  journal={Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)},
  year={2017},
  volume={21},
  number={5},
  pages={907--916},
  publisher={Fuji technology press LTD.}
}

国際会議論文

  1. Fumito Uwano, Will N. Browne. Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision Making. Proceedings of Genetic and Evolutionary Computation Conference 2025 (GECCO 2025), July, 2025.
    @inproceedings{fumito uwano 2025enhancing,
  title={Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision Making},
  author={Fumito Uwano and Will N. Browne},
  booktitle={Proceedings of Genetic and Evolutionary Computation Conference 2025 (GECCO 2025)},
  year={2025},
  month={July}
}

  2. Ryota Kubo Fumito Uwano, Manabu Ohta. Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios. Agents and Artificial Intelligence, April, 2025.
    @inproceedings{fumito uwano2025natural,
  title={Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios},
  author={Fumito Uwano, Ryota Kubo, and Manabu Ohta},
  booktitle={Agents and Artificial Intelligence},
  year={2025},
  month={April}
}

  3. Teruhito Kanazawa Shunpei Nakayama, Manabu Ohta. Error Detection of BERT-Based Bibliographic Information Extraction from Reference Strings. Proceedings of 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM 2025), January, 2025.
    @inproceedings{shunpei nakayama2025error,
  title={Error Detection of BERT-Based Bibliographic Information Extraction from Reference Strings},
  author={Shunpei Nakayama, Teruhito Kanazawa, Fumito Uwano, and Manabu Ohta},
  booktitle={Proceedings of 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM 2025)},
  year={2025},
  month={January}
}

  4. Teruhito Kanazawa Rikuto Sakai, Manabu Ohta. Support for Reading Comprehension of Scholarly Papers in Japanese Using ChatGPT. Proceedings of 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM 2025), January, 2025.
    @inproceedings{rikuto sakai2025support,
  title={Support for Reading Comprehension of Scholarly Papers in Japanese Using ChatGPT},
  author={Rikuto Sakai, Teruhito Kanazawa, Fumito Uwano, and Manabu Ohta},
  booktitle={Proceedings of 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM 2025)},
  year={2025},
  month={January}
}

  5. Donghui Lin Ryutaro Yokotsuji, Fumito Uwano. LLM-based Interoperable IoT Service Platform. Proceedings of the 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024), December, 2024.
    @inproceedings{ryutaro yokotsuji2024llm,
  title={LLM-based Interoperable IoT Service Platform},
  author={Ryutaro Yokotsuji, Donghui Lin, and Fumito Uwano},
  booktitle={Proceedings of the 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024)},
  year={2024},
  month={December}
}

  6. Yusuke Maekawa Keiki Takadama, Hiroyuki Sato. Multiple Swarms Optimization by Archiving Potential Areas: Towards Rover Planetary Exploration of Potential Areas Which Number and Distribution are Unknown. Proceedings of International Symposium on Artificial Intelligence, Robotics and Automation in Space 2024 (i-SAIRAS 2024), November, 2024.
    @inproceedings{keiki takadama2024multiple,
  title={Multiple Swarms Optimization by Archiving Potential Areas: Towards Rover Planetary Exploration of Potential Areas Which Number and Distribution are Unknown},
  author={Keiki Takadama, Yusuke Maekawa, Ryuki Ishizawa, Shoei Fujita, Ryo Takano, Fumito Uwano, and Hiroyuki Sato},
  booktitle={Proceedings of International Symposium on Artificial Intelligence, Robotics and Automation in Space 2024 (i-SAIRAS 2024)},
  year={2024},
  month={November}
}

  7. Donghui Lin Masahiro Kaji, Fumito Uwano. Safe Multi-agent Reinforcement Learning for Drone Routing Problems. PRIMA 2024: Principles and Practice of Multi-Agent Systems, November, 2024.
    @inproceedings{masahiro kaji2024safe,
  title={Safe Multi-agent Reinforcement Learning for Drone Routing Problems},
  author={Masahiro Kaji, Donghui Lin, and Fumito Uwano},
  booktitle={PRIMA 2024: Principles and Practice of Multi-Agent Systems},
  year={2024},
  month={November}
}

  8. Fumito Uwano, Will N. Browne. Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision Making. Proceedings of the Companion Genetic and Evolutionary Computation Conference 2024 (GECCO 2024), July, 2024.
    @inproceedings{fumito uwano 2024cognitive,
  title={Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision Making},
  author={Fumito Uwano and Will N. Browne},
  booktitle={Proceedings of the Companion Genetic and Evolutionary Computation Conference 2024 (GECCO 2024)},
  year={2024},
  month={July}
}

  9. Ran’u Kobayashi Fumito Uwano, Manabu Ohta. Automatic Extraction of User-Centric Aspects for Tourist Spot Recommender Systems Using Reviews in Japanese. HCII 2024: Human Interface and the Management of Information, June, 2024.
    @inproceedings{fumito uwano2024automatic,
  title={Automatic Extraction of User-Centric Aspects for Tourist Spot Recommender Systems Using Reviews in Japanese},
  author={Fumito Uwano, Ran’u Kobayashi, and Manabu Ohta},
  booktitle={HCII 2024: Human Interface and the Management of Information},
  year={2024},
  month={June}
}

  10. Fumito Uwano Ryota Kubo, Manabu Ohta. Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-based Scenario. Proceedings of the 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, February, 2024.
    @inproceedings{ryota kubo2024reward,
  title={Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-based Scenario},
  author={Ryota Kubo, Fumito Uwano, and Manabu Ohta},
  booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART},
  year={2024},
  month={February}
}

  11. Hiroyuki Aoyagi Manabu Ohta, Atsuhiro Takasu. An End-to-End Table Structure Analysis Method Using Graph Attention Networks. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, December, 2023.
    @inproceedings{manabu ohta2023end,
  title={An End-to-End Table Structure Analysis Method Using Graph Attention Networks},
  author={Manabu Ohta, Hiroyuki Aoyagi, Fumito Uwano, Teruhito Kanazawa, and Atsuhiro Takasu},
  booktitle={Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration},
  year={2023},
  month={December}
}

  12. Fumito Uwano, Will N. Browne. Hierarchical Frames-of-References in Learning Classifier Systems. Proceedings of the Companion Genetic and Evolutionary Computation Conference 2023 (GECCO 2023), July, 2023.
    @inproceedings{fumito uwano 2023hierarchical,
  title={Hierarchical Frames-of-References in Learning Classifier Systems},
  author={Fumito Uwano and Will N. Browne},
  booktitle={Proceedings of the Companion Genetic and Evolutionary Computation Conference 2023 (GECCO 2023)},
  year={2023},
  month={July}
}

  13. Fumito Uwano, Keiki Takadama. Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach. Explainable and Transparent AI and Multi-Agent Systems, May, 2023.
    @inproceedings{fumito uwano 2023reinforcement,
  title={Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach},
  author={Fumito Uwano and Keiki Takadama},
  booktitle={Explainable and Transparent AI and Multi-Agent Systems},
  year={2023},
  month={May}
}

  14. Fumito Uwano. Implicit Cooperative Learning on Distribution of Received Reward in Multi-agent System. Proceedings of the 15th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, February, 2023.
    @inproceedings{fumito uwano2023implicit,
  title={Implicit Cooperative Learning on Distribution of Received Reward in Multi-agent System},
  author={Fumito Uwano},
  booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART},
  year={2023},
  month={February}
}

  15. Daiki Yamane Fumito Uwano, Keiki Takadama. Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. HCII 2022: Human Interface and the Management of Information: Visual and Information Design, June, 2022.
    @inproceedings{fumito uwano2022design,
  title={Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media},
  author={Fumito Uwano, Daiki Yamane, and Keiki Takadama},
  booktitle={HCII 2022: Human Interface and the Management of Information: Visual and Information Design},
  year={2022},
  month={June}
}

  16. Fumito Uwano. LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning. Proceedings of 14th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, February, 2022.
    @inproceedings{fumito uwano2022lstm,
  title={LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning},
  author={Fumito Uwano},
  booktitle={Proceedings of 14th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART},
  year={2022},
  month={February}
}

  17. Fumito Uwano. Policy-oriented Goal Selection in Multi-Agent Reinforcement Learning for Dynamic Environments without Communication. Proceedings of 27th International Symposium on Artificial Life and Robotics (AROB 2022), January, 2022.
    @inproceedings{fumito uwano2022policy,
  title={Policy-oriented Goal Selection in Multi-Agent Reinforcement Learning for Dynamic Environments without Communication},
  author={Fumito Uwano},
  booktitle={Proceedings of 27th International Symposium on Artificial Life and Robotics (AROB 2022)},
  year={2022},
  month={January}
}

  18. Teruhito Kanazawa Hiroyuki Aoyagi, Manabu Ohta. Table-structure Recognition Method Consisting of Plural Neural Network Models. Proceedings of 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM, January, 2022.
    @inproceedings{hiroyuki aoyagi2022table,
  title={Table-structure Recognition Method Consisting of Plural Neural Network Models},
  author={Hiroyuki Aoyagi, Teruhito Kanazawa, Atsuhiro Takasu, Fumito Uwano, and Manabu Ohta},
  booktitle={Proceedings of 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
  year={2022},
  month={January}
}

  19. Fumito Uwano. A Cooperative Learning Method for Multi-Agent System with Different Input Resolutions. Proceedings of 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR 2021), September, 2021.
    @inproceedings{fumito uwano2021cooperative,
  title={A Cooperative Learning Method for Multi-Agent System with Different Input Resolutions},
  author={Fumito Uwano},
  booktitle={Proceedings of 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR 2021)},
  year={2021},
  month={September}
}

  20. Fumito Uwano Yoshimiki Maekawa, Keiki Takadama. How to Emote for Consensus Building in Virtual Communication. Human Interface and the Management of Information. Interacting with Information, June, 2020.
    @inproceedings{yoshimiki maekawa2020emote,
  title={How to Emote for Consensus Building in Virtual Communication},
  author={Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima and Keiki Takadama},
  booktitle={Human Interface and the Management of Information. Interacting with Information},
  year={2020},
  month={June}
}

  21. Fumito Uwano, Keiki Takadama. Directionality Reinforcement Learning to Operate Multi-Agent System without Communication. Proceedings of the 11th International Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS2020), May, 2020.
    @inproceedings{fumito uwano 2020directionality,
  title={Directionality Reinforcement Learning to Operate Multi-Agent System without Communication},
  author={Fumito Uwano and Keiki Takadama},
  booktitle={Proceedings of the 11th International Workshop on Optimization and Learning in Multiagent Systems (OptLearnMAS2020)},
  year={2020},
  month={May}
}

  22. Fumito Uwano, Takato Tatsumi, Akinori Murata, Keiki Takadama, Hiroyuki Kamata, Takayuki Ishida, Seisuke Fukuda, Shujiro Sawai, Shinichiro Sakai. How to Select Appropriate Craters to Estimate Location Accurately in Comprehensive Situations for SLIM Project. Proceedings of the 32nd International Symposium on Space Technology and Science (ISTS2019), June, 2019.
    @inproceedings{fumito uwano 2019select,
  title={How to Select Appropriate Craters to Estimate Location Accurately in Comprehensive Situations for SLIM Project},
  author={Fumito Uwano and Takato Tatsumi and Akinori Murata and Keiki Takadama and Hiroyuki Kamata and Takayuki Ishida and Seisuke Fukuda and Shujiro Sawai and Shinichiro Sakai},
  booktitle={Proceedings of the 32nd International Symposium on Space Technology and Science (ISTS2019)},
  year={2019},
  month={June}
}

  23. Fumito Uwano, Keiki Takadama. Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems. PRIMA 2018: Principles and Practice of Multi-Agent Systems, pages 663-670, October, 2018. Springer.
    @inproceedings{fumito uwano 2018strategy,
  title={Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems},
  author={Fumito Uwano and Keiki Takadama},
  booktitle={PRIMA 2018: Principles and Practice of Multi-Agent Systems},
  year={2018},
  pages={663--670},
  month={October},
  publisher={Springer}
}

  24. Fumito Uwano, Keiki Takadama. Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor. Proceedings of AAAI Spring Symposium 2018, May, 2018.
    @inproceedings{fumito uwano 2018ensemble,
  title={Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor},
  author={Fumito Uwano and Keiki Takadama},
  booktitle={Proceedings of AAAI Spring Symposium 2018},
  year={2018},
  month={May}
}

  25. Fumito Uwano, Haruyuki Ishii, Yuta Umenai, Kazuma Matsumoto, Takato Tatsumi, Akinori Murata, Keiki Takadama. Analyzing Triangle Matching Method Based on Craters for Spacecraft Localization. Proceedings of the 14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2018), June, 2017.
    @inproceedings{fumito uwano 2017analyzing,
  title={Analyzing Triangle Matching Method Based on Craters for Spacecraft Localization},
  author={Fumito Uwano and Haruyuki Ishii and Yuta Umenai and Kazuma Matsumoto and Takato Tatsumi and Akinori Murata and Keiki Takadama},
  booktitle={Proceedings of the 14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2018)},
  year={2017},
  month={June}
}

  26. Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs. Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO2018), pages 1465-1472, July, 2018.
    @inproceedings{fumito uwano 2018generalizing,
  title={Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining},
  author={Fumito Uwano and Koji Dobashi and Keiki Takadama and Tim Kovacs},
  booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO2018)},
  year={2018},
  pages={1465--1472},
  month={July}
}

  27. Fumito Uwano, Keiki Takadama. Communication-less Cooperative Q-learning Agents in Maze Problem. Intelligent and Evolutionary Systems, pages 453-467, November, 2016. Springer.
    @inproceedings{fumito uwano 2016communication,
  title={Communication-less Cooperative Q-learning Agents in Maze Problem},
  author={Fumito Uwano and Keiki Takadama},
  booktitle={Intelligent and Evolutionary Systems},
  year={2016},
  pages={453--467},
  month={November},
  publisher={Springer}
}

  28. Fumito Uwano, Akinori Murata, Keiki Takadama. Adaptive Learning Based on Genetic Algorithm for The Rover in Planetary Exploration. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2016), June, 2016.
    @inproceedings{fumito uwano 2016adaptive,
  title={Adaptive Learning Based on Genetic Algorithm for The Rover in Planetary Exploration},
  author={Fumito Uwano and Akinori Murata and Keiki Takadama},
  booktitle={Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2016)},
  year={2016},
  month={June}
}

  29. Fumito Uwano, Naoki Tatebe, Masaya Nakata, Tim Kovacs, Keiki Takadama. Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Transactions on Collaborative Computing, Vol. 2, May, 2016. ACM.
    @inproceedings{fumito uwano 2016reinforcement,
  title={Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach},
  author={Fumito Uwano and Naoki Tatebe and Masaya Nakata and Tim Kovacs and Keiki Takadama},
  booktitle={EAI Endorsed Transactions on Collaborative Computing},
  year={2016},
  volume={2},
  number={8},
  month={May},
  publisher={ACM}
}