Kazuteru Miyazaki
Orcid: 0000-0001-8175-213X
According to our database1,
Kazuteru Miyazaki
authored at least 42 papers
between 1997 and 2024.
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Bibliography
2024
Performance evaluation of character-level CNNs using tweet data and analysis for weight perturbations.
Artif. Life Robotics, May, 2024
Proposal of a Course-Classification Support System Using Deep Learning and its Evaluation When Combined with Reinforcement Learning.
J. Adv. Comput. Intell. Intell. Informatics, March, 2024
J. Adv. Comput. Intell. Intell. Informatics, March, 2024
Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented Learning.
J. Robotics Mechatronics, 2024
Cogn. Syst. Res., 2024
2022
Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences.
IEEE Access, 2022
Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022
2021
Proposal and evaluation of deep exploitation-oriented learning under multiple reward environment.
Cogn. Syst. Res., 2021
Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction.
IEEE Access, 2021
2020
Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020
Application of Deep Reinforcement Learning to Decision-Making System based on Consciousness.
Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Consistency Assessment between Diploma Policy and Curriculum Policy using Character-Level CNN.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Proposal of Detour Path Suppression Method in PS Reinforcement Learning and Its Application to Altruistic Multi-agent Environment.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018
Proposal and Evaluation of an Indirect Reward Assignment Method for Reinforcement Learning by Profit Sharing Method.
Proceedings of the Intelligent Systems and Applications, 2018
A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
J. Adv. Comput. Intell. Intell. Informatics, 2017
Exploitation-Oriented Learning with Deep Learning - Introducing Profit Sharing to a Deep Q-Network -.
J. Adv. Comput. Intell. Intell. Informatics, 2017
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017
2016
Proposal and Evaluation of an Action Selection Strategy with Expected Failure Probability in Multi-agent Learning.
Proceedings of the IEEE International Conference on Agents, 2016
Proposal of an Action Selection Strategy with Expected Failure Probability and Its Evaluation in Multi-agent Reinforcement Learning.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2016
Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016
2014
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014
2013
Proposal of an Exploitation-oriented Learning Method on Multiple Rewards and Penalties Environments and the Design Guideline.
J. Comput., 2013
2012
J. Adv. Comput. Intell. Intell. Informatics, 2012
Introduction of Fixed Mode States into Online Reinforcement Learning with Penalties and Rewards and its Application to Biped Robot Waist Trajectory Generation.
J. Adv. Comput. Intell. Intell. Informatics, 2012
Proposal of an Active Course Classification Support system with Exploitation-oriented Learning extended by positive and negative examples.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Evaluation of the Improved Penalty Avoiding Rational Policy Making Algorithm in Real World Environment.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012
2011
Proposal and Evaluation of the Active Course Classification Support System with Exploitation-Oriented Learning.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Introduction of Fixed Mode States into Online Profit Sharing and Its Application to Waist Trajectory Generation of Biped Robot.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
2010
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
2009
A New Improved Penalty Avoiding Rational Policy Making Algorithm for Keepaway with Continuous State Spaces.
J. Adv. Comput. Intell. Intell. Informatics, 2009
J. Adv. Comput. Intell. Intell. Informatics, 2009
2008
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
2007
J. Adv. Comput. Intell. Intell. Informatics, 2007
2006
Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication, 2006
2004
Artif. Life Robotics, 2004
2001
New Gener. Comput., 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
1999
Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution.
Proceedings of the Fourth International Symposium on Autonomous Decentralized Systems, 1999
1997
k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning.
Artif. Intell., 1997
Reinforcement Learning in POMDPs with Function Approximation.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997