Kazuteru Miyazaki

44 papers A* 1B 5C 4Misc 1Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Keiki Takadama
2024	J	`jnl`	Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented Learning. J. Robotics Mechatronics Kazuteru Miyazaki
2024	J	`jnl`	Performance evaluation of character-level CNNs using tweet data and analysis for weight perturbations. Artif. Life Robotics Kazuteru Miyazaki, Masaaki Ida
2024	J	`jnl`	Proposal of a Course-Classification Support System Using Deep Learning and its Evaluation When Combined with Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Shu Yamaguchi, Rie Mori, Yumiko Yoshikawa, Takanori Saito, Toshiya Suzuki
2024	J	`jnl`	Suppression of negative tweets using reinforcement learning systems. Cogn. Syst. Res. Kazuteru Miyazaki, Hitomi Miyazaki
2022	—	`conf`	Modeling of placebo effect in stochastic reward tasks by reinforcement learning. BICA*AI Kazuteru Miyazaki
2022	J	`jnl`	Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences. IEEE Access Naoki Kodama, Taku Harada, Kazuteru Miyazaki
2021	J	`jnl`	Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction. IEEE Access Naoki Kodama, Taku Harada, Kazuteru Miyazaki
2021	J	`jnl`	Proposal and evaluation of deep exploitation-oriented learning under multiple reward environment. Cogn. Syst. Res. Kazuteru Miyazaki
2020	—	`conf`	Application of Deep Reinforcement Learning to Decision-Making System based on Consciousness. BICA*AI Kazuteru Miyazaki
2020	Misc	`conf`	Classification of Medical Data using Character-level CNN. ICISS Kazuteru Miyazaki
2019	B	`conf`	Deep Reinforcement Learning with Dual Targeting Algorithm. IJCNN Naoki Kodama, Taku Harada, Kazuteru Miyazaki
2018	C	`conf`	A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning. ICMLA Naoki Kodama, Kazuteru Miyazaki, Taku Harada
2018	—	`conf`	Consistency Assessment between Diploma Policy and Curriculum Policy using Character-Level CNN. SCIS&ISIS Kazuteru Miyazaki, Masaaki Ida
2018	—	`conf`	Proposal and Evaluation of an Indirect Reward Assignment Method for Reinforcement Learning by Profit Sharing Method. IntelliSys (1) Kazuteru Miyazaki, Naoki Kodama, Hiroaki Kobayashi
2018	B	`conf`	Proposal of Detour Path Suppression Method in PS Reinforcement Learning and Its Application to Altruistic Multi-agent Environment. PRIMA Daisuke Shiraishi, Kazuteru Miyazaki, Hiroaki Kobayashi
2017	J	`jnl`	Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods. J. Adv. Comput. Intell. Intell. Informatics Keiki Takadama, Kazuteru Miyazaki
2017	J	`jnl`	Exploitation-Oriented Learning with Deep Learning - Introducing Profit Sharing to a Deep Q-Network -. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki
2017	J	`jnl`	Proposal of PSwithEFP and its Evaluation in Multi-Agent Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Koudai Furukawa, Hiroaki Kobayashi
2017	—	`conf`	Proposal of a Deep Q-network with Profit Sharing. BICA Kazuteru Miyazaki
2016	—	`conf`	A Study of an Indirect Reward on Multi-agent Environments. BICA Kazuteru Miyazaki
2016	—	`conf`	Proposal and Evaluation of an Action Selection Strategy with Expected Failure Probability in Multi-agent Learning. ICA Kazuteru Miyazaki, Koudai Furukawa, Hiroaki Kobayashi
2016	—	`conf`	Proposal of an Action Selection Strategy with Expected Failure Probability and Its Evaluation in Multi-agent Reinforcement Learning. EUMAS/AT Kazuteru Miyazaki, Koudai Furukawa, Hiroaki Kobayashi
2014	—	`conf`	The Necessity of a Secondary System in Machine Consciousness. BICA Kazuteru Miyazaki, Jun'ichi Takeno
2013	J	`jnl`	Proposal of an Exploitation-oriented Learning Method on Multiple Rewards and Penalties Environments and the Design Guideline. J. Comput. Kazuteru Miyazaki
2012	—	`conf`	Evaluation of the Improved Penalty Avoiding Rational Policy Making Algorithm in Real World Environment. ACIIDS (1) Kazuteru Miyazaki, Masaki Itou, Hiroaki Kobayashi
2012	J	`jnl`	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 Seiya Kuroda, Kazuteru Miyazaki, Hiroaki Kobayashi
2012	—	`conf`	Proposal of an Active Course Classification Support system with Exploitation-oriented Learning extended by positive and negative examples. SCIS&ISIS Kazuteru Miyazaki, Masaaki Ida
2012	J	`jnl`	Proposal of the Continuous-Valued Penalty Avoiding Rational Policy Making Algorithm. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki
2011	—	`conf`	Introduction of Fixed Mode States into Online Profit Sharing and Its Application to Waist Trajectory Generation of Biped Robot. EWRL Seiya Kuroda, Kazuteru Miyazaki, Hiroaki Kobayashi
2011	—	`conf`	Proposal and Evaluation of the Active Course Classification Support System with Exploitation-Oriented Learning. EWRL Kazuteru Miyazaki, Masaaki Ida
2010	C	`conf`	The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces. IDEAL Kazuteru Miyazaki
2009	J	`jnl`	A New Improved Penalty Avoiding Rational Policy Making Algorithm for Keepaway with Continuous State Spaces. J. Adv. Comput. Intell. Intell. Informatics Takuji Watanabe, Kazuteru Miyazaki, Hiroaki Kobayashi
2009	J	`jnl`	Exploitation-Oriented Learning PS-r#. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Shigenobu Kobayashi
2008	C	`conf`	Proposal of Exploitation-Oriented Learning PS-r#. IDEAL Kazuteru Miyazaki, Shigenobu Kobayashi
2007	J	`jnl`	Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Shigenobu Kobayashi
2006	B	`conf`	Multi User Learning Agent on the Distribution of MDPs. RO-MAN Daisuke Katagami, Katsumi Nitta, Kazuteru Miyazaki
2004	J	`jnl`	Development of a reinforcement learning system to play Othello. Artif. Life Robotics Kazuteru Miyazaki, Sougo Tsuboi, Shigenobu Kobayashi
2001	J	`jnl`	Rationality of Reward Sharing in Multi-agent Reinforcement Learning. New Gener. Comput. Kazuteru Miyazaki, Shigenobu Kobayashi
2000	B	`conf`	Reinforcement learning for penalty avoiding policy making. SMC Kazuteru Miyazaki, Shigenobu Kobayashi
1999	C	`conf`	Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi
1999	B	`conf`	Rationality of Reward Sharing in Multi-agent Reinforcement Learning. PRIMA Kazuteru Miyazaki, Shigenobu Kobayashi
1997	A*	`conf`	Reinforcement Learning in POMDPs with Function Approximation. ICML Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi
1997	J	`jnl`	k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. Artif. Intell. Kazuteru Miyazaki, Masayuki Yamamura, Shigenobu Kobayashi