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• Conference contribution

  Lean production and transportation scheduling for dynamic supply chain management

  Tanimizu, Y., Harada, K., Ozawa, C., Iwamura, K. & Sugimura, N., 2010, Proceedings - INDIN 2010: 8th IEEE International Conference on Industrial Informatics. p. 869-874 6 p. 5549627. (IEEE International Conference on Industrial Informatics (INDIN)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Learned Image Compression with Fixed-point Arithmetic

  Sun, H., Yu, L. & Katto, J., 2021 Jun, 2021 Picture Coding Symposium, PCS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9477496. (2021 Picture Coding Symposium, PCS 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods

  Cheng, Z., Sun, H., Takeuchi, M. & Katto, J., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2158-2162 5 p. 9053413. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning activity sharing and individualized recommendation based on dynamical correlation discovery

  Zhou, X., Chen, J., Jin, Q. & Shih, T. K., 2012 Sep 14, Advances in Web-Based Learning, ICWL 2012 - 11th International Conference, Proceedings. p. 200-206 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7558 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning algorithms and frame signatures for video similarity ranking

  Horie, T., Shikano, A., Iwase, H. & Matsuyama, Y., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9489. p. 147-157 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9489).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Learning and association of synaesthesia phenomenon using deep neural networks

  Yamaguchi, Y., Noda, K., Nishide, S., Okuno, H. G. & Ogata, T., 2013, 2013 IEEE/SICE International Symposium on System Integration, SII 2013. IEEE Computer Society, p. 659-664 6 p. 6776750. (2013 IEEE/SICE International Symposium on System Integration, SII 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning and evolution affected by spatial structure

  Ono, M. & Ishizuka, M., 2006, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4099 LNAI. p. 651-660 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4099 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning and evolution of genetic network programming with knowledge transfer

  Li, X., He, W. & Hirasawa, K., 2014 Sep 16, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., p. 798-805 8 p. 6900315

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Learning and recognition of multiple fluctuating temporal patterns using S-CTRNN

  Murata, S., Arie, H., Ogata, T., Tani, J. & Sugano, S., 2014, Artificial Neural Networks and Machine Learning, ICANN 2014 - 24th International Conference on Artificial Neural Networks, Proceedings. Springer Verlag, p. 9-16 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

• Learning arm motion strategies for balance recovery of humanoid robots

  Nakada, M., Allen, B., Morishima, S. & Terzopoulos, D., 2010 Dec 1, Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems. p. 165-170 6 p. 5600269. (Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Learning by discovering conflicts

  Lashkia, G. V. & Anthony, L., 2003 Jan 1, Advances in Artificial Intelligence - 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Proceedings. Xiang, Y. & Chaib-Draa, B. (eds.). Springer Verlag, p. 492-497 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2671).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning by tangible learning system in science class

  Morita, Y. & Setozaki, N., 2017, Human–Computer Interaction: Interaction Contexts - 19th International Conference, HCI International 2017, Proceedings. Kurosu, M. (ed.). Springer Verlag, p. 341-352 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10272 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning concatenations of locally testable languages from positive data

  Kobayashi, S. & Yokomori, T., 1994, Algorithmic Learning Theory - 4th International Workshop on Analogical and Inductive Inference, AII 1994 and 5th International Workshop on Algorithmic Learning Theory, ALT 1994, Proceedings. Arikawa, S. & Jantke, K. P. (eds.). Springer Verlag, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 872 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

• Learning context-free languages efficiently: A report on recent results in Japan

  Yokomori, T., 1989 Jan 1, Analogical and Inductive Inference - International Workshop, All 1989, Proceedings. Jantke, K. P. (ed.). Springer Verlag, p. 104-123 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 397 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Learning control for the biped walking robot with a trunk

  Li, Q., Takanishi, A. & Kato, I., 1993 Dec 1, 1993 International Conference on Intelligent Robots and Systems. Anon (ed.). Publ by IEEE, p. 1771-1777 7 p. (1993 International Conference on Intelligent Robots and Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  30 Citations (Scopus)

• Learning control of compensative trunk motion for biped walking robot based on zmp stability criterion

  Li, Q., Takanishi, A. & Kato, I., 1992, IROS 1992 - Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems: Sensor-Based Robotics and Opportunties for its Industrial Applications. Institute of Electrical and Electronics Engineers Inc., p. 597-603 7 p. 587398. (IEEE International Conference on Intelligent Robots and Systems; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  52 Citations (Scopus)

• Learning-data selection mechanism through neural networks ensemble

  Hartono, P. & Hashimoto, S., 2001, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 2096. p. 188-197 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2096).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Learning discriminative and shareable patches for scene classification

  Ni, S., Zhangg, Q., Kamata, S. I. & Zhang, C., 2016 May 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1317-1321 5 p. 7471890. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Learning effectiveness of team discussions in various software engineering education courses

  Shuto, M., Washizaki, H., Kakehi, K., Fukazawa, Y., Yamato, S. & Okubo, M., 2016 May 19, Proceedings - 2016 IEEE 29th Conference on Software Engineering Education and Training, CSEEandT 2016. Institute of Electrical and Electronics Engineers Inc., p. 227-231 5 p. 7474488

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Learning Effects in Programming Learning Using Python and Raspberry Pi: Case Study with Elementary School Students

  Saito, D., Washizaki, H., Fukazawa, Y., Yoshida, T., Kaneko, I. & Kamo, H., 2019 Dec, TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education. Institute of Electrical and Electronics Engineers Inc., 9225866. (TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning

  Zhu, Z., Oury Diallo, E. A. & Sugawara, T., 2020, ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 287-294 8 p. (ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning environment model at runtime for self-adaptive systems

  Tanabe, M., Tei, K., Fukazawa, Y. & Honiden, S., 2017 Apr 3, 32nd Annual ACM Symposium on Applied Computing, SAC 2017. Association for Computing Machinery, p. 1198-1204 7 p. (Proceedings of the ACM Symposium on Applied Computing; vol. Part F128005).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Learning features and predictive transformation encoding based on a horizontal product model

  Zhong, J., Weber, C. & Wermter, S., 2012, Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 ed. Vol. 7552 LNCS. p. 539-546 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7552 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Learning for human-agent collaboration on the semantic web

  Aral, S. & Ishida, T., 2004 Dec 27, Proceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004. Ibaraki, T., Inui, T. & Tanaka, K. (eds.). p. 132-139 8 p. (Proceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Learning from human behavior in participatory simulation

  Ishida, T., Murakami, Y. & Nakajima, Y., 2009, Ambient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009. p. 147-157 11 p. (Ambient Intelligence Perspectives II - Selected Papers from the 2nd International Ambient Intelligence Forum 2009, AmIF 2009; vol. 5).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning higher accuracy decision trees from concept drifting data streams

  Nishimura, S., Terabe, M., Hashimoto, K. & Mihara, K., 2008, New Frontiers in Applied Artificial Intelligence - 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Proceedings. p. 179-188 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5027 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  9 Citations (Scopus)

• Learning History Transition Graphs for understanding the programming learning situations

  Nakayama, H., Nakamura, S., Nozaki, K., Morimoto, Y., Kaminaga, H. & Miyadera, Y., 2017 Feb 14, 2016 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016. Institute of Electrical and Electronics Engineers Inc., p. 476-477 2 p. 7856758

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning image and video compression through spatial-temporal energy compaction

  Cheng, Z., Sun, H., Takeuchi, M. & Katto, J., 2019 Jun, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10063-10072 10 p. 8953743. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  32 Citations (Scopus)

• Learning in Compressed Domain for Faster Machine Vision Tasks

  Liu, J., Sun, H. & Katto, J., 2021, 2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 International Conference on Visual Communications and Image Processing, VCIP 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning local languages and its application to protein α-chain identification

  Yokomori, T., Ishida, N. & Kobayashi, S., 1995 Jan 1, Proceedings of the Hawaii International Conference on System Sciences. Nunamaker, J. F. & Sprague, R. H. J. (eds.). Publ by IEEE, p. 113-122 10 p. (Proceedings of the Hawaii International Conference on System Sciences; vol. 5).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  13 Citations (Scopus)

• Learning message-related coordination control in multiagent systems

  Sugawara, T. & Kurihara, S., 1998 Jan 1, Multi-Agent Systems: Theories, Languages, and Applications - 4th Australian Workshop on Distributed Artificial Intelligence, 1998, Selected Papers. Zhang, C. & Lukose, D. (eds.). Springer Verlag, p. 29-44 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1544).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Learning misclassification costs for imbalanced datasets, application in gene expression data classification

  Lu, H., Xu, Y., Ye, M., Yan, K., Jin, Q. & Gao, Z., 2018, Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings. Premaratne, P., Gupta, P., Huang, D-S. & Bevilacqua, V. (eds.). Springer Verlag, p. 513-519 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10954 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning motion planning functions using a linear transition in the C-space: Networks and kernels

  Parque, V., 2021 Jul, Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021. Chan, W. K., Claycomb, B., Takakura, H., Yang, J-J., Teranishi, Y., Towey, D., Segura, S., Shahriar, H., Reisman, S. & Ahamed, S. I. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1538-1543 6 p. (Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors

  Kase, K., Nakajo, R., Mori, H. & Ogata, T., 2019 Nov, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019. Institute of Electrical and Electronics Engineers Inc., p. 4244-4249 6 p. 8967780. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning of activity cycle length based on battery limitation in multi-agent continuous cooperative patrol problems

  Sugiyama, A., Wu, L. & Sugawara, T., 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 62-71 10 p. (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
  3 Citations (Scopus)

• Learning of labeling room space for mobile robots based on visual motor experience

  Yamada, T., Ito, S., Arie, H. & Ogata, T., 2017, Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. Verschure, P. F., Lintas, A., Villa, A. E. & Rovetta, S. (eds.). Springer Verlag, p. 35-42 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10613 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Learning of robot biped walking with the cooperation of a human

  Li, Q., Takanishi, A. & Kato, I., 1993 Jan 1, Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993. Institute of Electrical and Electronics Engineers Inc., p. 393-397 5 p. 367686. (Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning photo enhancement by black-box model optimization data generation

  Omiya, M., Simo Serra, E., Iizuka, S. & Ishikawa, H., 2018 Dec 4, SIGGRAPH Asia 2018 Technical Briefs, SA 2018. Association for Computing Machinery, Inc, a7

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Learning reliability of parses for domain adaptation of dependency parsing

  Kawahara, D. & Uchimoto, K., 2008, IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 709-714 6 p. (IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  22 Citations (Scopus)

• Learning Scale and Shift-Invariant Dictionary for Sparse Representation

  Aritake, T. & Murata, N., 2019, Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Proceedings. Nicosia, G., Pardalos, P., Umeton, R., Giuffrida, G. & Sciacca, V. (eds.). Springer, p. 472-483 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11943 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning strategic group formation for coordinated behavior in adversarial multi-agent with double DQN

  Diallo, E. A. O. & Sugawara, T., 2018, PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, 2018, Proceedings. Oren, N., Sakurai, Y., Noda, I., Cao Son, T., Miller, T. & Savarimuthu, B. T. (eds.). Springer Verlag, p. 458-466 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11224 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Learning strongly deterministic even linear languages from positive examples

  Koshiba, T., Mäkinen, E. & Takada, Y., 1995, Algorithmic Learning Theory - 6th International Workshop, ALT 1995, Proceedings. Springer Verlag, Vol. 997. p. 41-54 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 997).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning structure analysis system applying fuzzy theory

  Uesu, H., Yamashita, H., Shinkai, K., Kanagawa, S., Kitagaki, I. & Shibata, S., 2004, Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004. Kinshuk, Looi, C-K., Sutinen, E., Sampson, D., Aedo, I., Uden, L. & Kaehkoenen, E. (eds.). p. 890-891 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

• Learning task space control through goal directed exploration

  Jamone, L., Natale, L., Hashimoto, K., Sandini, G. & Takanishi, A., 2011 Dec 1, 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. p. 702-708 7 p. 6181368. (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  18 Citations (Scopus)

• Learning the optimal product design through history

  Parque Tenorio, V. & Miyashita, T., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9489. p. 382-389 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9489).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Learning the reachable space of a humanoid robot: A bio-inspired approach

  Jamone, L., Natale, L., Hashimoto, K., Sandini, G. & Takanishi, A., 2012 Oct 18, 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012. p. 1148-1154 7 p. 6290729. (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Learning to control a joint driven double inverted pendulum using nested actor/critic algorithm

  Kobori, N., Suzuki, K., Hartono, P. & Hashimoto, S., 2002, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Institute of Electrical and Electronics Engineers Inc., Vol. 5. p. 2610-2614 5 p. 1201968

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Learning to coordinate with deep reinforcement learning in doubles pong game

  Diallo, E. A. O., Sugiyama, A. & Sugawara, T., 2017, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Chen, X., Luo, B., Luo, F., Palade, V. & Wani, M. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 14-19 6 p. (Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017; vol. 2017-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  14 Citations (Scopus)

• Learning to generate market comments from stock prices

  Murakami, S., Watanabe, A., Miyazawa, A., Goshima, K., Yanase, T., Takamura, H. & Miyao, Y., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 1374-1384 11 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
  31 Citations (Scopus)

• Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism

  Murata, S., Namikawa, J., Arie, H., Tani, J. & Sugano, S., 2013 Dec 31, 2013 IEEE 3rd Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL 2013 - Electronic Conference Proceedings. 6652545. (2013 IEEE 3rd Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL 2013 - Electronic Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)