Kazuaki Yamada

发表

1A1-F08 Predictive Control Systems using Recurrent Neural Networks(Evolution and Learning for Robotics(1))

Miho Kobayashi, Kazuaki Yamada, 2012 .

Multi-Agent Reinforcement Learning: - Learning Effects by Transfer Learning, Eligibility Trace and Sensor Range -@@@―転移学習，適格度，センサ範囲の学習効果―

Kazuaki Yamada, Yuta Kajii, 2017 .

Autonomous role assignment and task allocation in scalable swarm robotic systems using local interactions

Kazuaki Yamada, 2018, Artificial Life and Robotics.

Reinforcement Learning with Autonomous Segmentation for Continuous State and Action Spaces

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 2002 .

G-2-3 RRBFNを用いた制御対象の長期的な状態予測

Kazuaki Yamada, Akihiro Matsumoto, Takuma Goto, 2014 .

Two Classifier Systems for Reinforcement Learning of Motion Patterns

Kazuhiro Ohkura, Kanji Ueda, Kazuaki Yamada, 2001 .

2A1-M08 A Long Term Prediction System Using Recurrent RBF Networks : The improvement of Learning Performance by Parameter Adjustment

Kazuaki Yamada, Takuma Goto, Toru Aizawa, 2015 .

A conceptual framework for learning experience design

Kazuaki Yamada, Yasuhiro Yamamoto, Kumiyo Nakakoji, 2003, First Conference on Creating, Connecting and Collaborating Through Computing, 2003. C5 2003. Proceedings..

Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Analysis of gaze information on actual pedestrian behavior in open space — Which body part of an oncoming pedestrian do people gaze at?

Daisuke Chugo, Hiroshi Hashimoto, Sho Yokota, 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).

A Reinforcement Learning Approach Using Reliability for Multi-agent Systems

Kazuaki Yamada, Satoru Takano, 2013 .

Emergent synthesis of motion patterns for locomotion robots

Kazuaki Yamada, Mikhail M. Svinin, Kanji Ueda, 2001, Artif. Intell. Eng..

Understanding the nature of collaboration in open-source software development

Kazuaki Yamada, Elisa Giaccardi, Kumiyo Nakakoji, 2005, 12th Asia-Pacific Software Engineering Conference (APSEC'05).

Specialization in Swarm Robotics using Local Interactions

Kazuaki Yamada, Kazuaki Yamada, 2016 .

A study of learning process for learning predictive control system: －Application to ball catch problem－@@@―捕球問題への適用―

Kazuaki Yamada, Toru Aizawa, 2016 .

Overview of Tsukuba SLE Gateway System

Kazuaki Yamada, Ryo Suzuki, Tetsuhito Fuse, 2006 .

Multi-Objective Reinforcement Learning Algorithm Updating Actor by Using Maximum TD-error Extracted from Some Critics

Kazuaki Yamada, Taichi Nagamine, 2019 .

Development of the SLE-SM prototype

Kazuaki Yamada, Wataru Iida, Takashi Asama, 2008 .

Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks

Kazuaki Yamada, Kazuaki Yamada, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Robot Shape Design to Easily Recognize Robots' Movement for Human

Daisuke Chugo, Hiroshi Hashimoto, Sho Yokota, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

Cooperative Behavior Acquisition of Autonomous Arm Robots through Reinforcement Learning

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 2003 .

Search Strategies of Multi-Agent Systems for Search and Rescue

Kazuaki Yamada, Yuuri Kasahara, 2019 .

Engraved Processing Using Non-rotational Cutting Tool and Machining Center: (In Case of “KEBORI”)

Kazuaki Yamada, Keiji Ogawa, 2018 .

2A1-K07 A Specialization Approach Using A Response Threshold Model for Multi-Robot Systems

Kazuaki Yamada, Yuuto Yamazaki, 2015 .

Reinforcement learning based on a mechanism of selecting state space representations in multi-robot systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2018 .

1A1-M14 Reinforcement Learning in Continuous State and Action Spaces : Action Value Functions Expressed by Sigmoid Neural Networks and CMAC(Evolution and Learning for Robotics)

Kazuaki Yamada, 2011 .

Reinforcement learning approaches for acquiring conflict avoidance behaviors in multi-agent systems

Kazuaki Yamada, Satoru Takano, Satomi Watanabe, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks

Kazuhiro Ohkura, Kazuaki Yamada, 2012 .

2A1-S-068 Extracting The Transition Patterns of The Internet User Interest Through Web Access Log(Evolution and Learning for Robotics 4,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Kazuaki Yamada, Kumiyo Nakakoji, Kanji Ueda, 2005 .

Acquiring Conflict Avoidance Behaviors with Multi-Objective Reinforcement Learning in Multi-Agent Systems

Kazuaki Yamada, 2018 .

2P1-I05 Acquisition of Conflict Avoidance Behaviors in Multi-Agent Systems : An Approach by Replication of Policies(Swarm Robotics)

Akihiro Matsumoto, Kazuaki Yamada, Satomi Watanabe, 2013 .

Expression of Continuous State and Action Spaces for Q-Learning Using Neural Networks and CMAC

Kazuaki Yamada, Kazuaki Yamada, 2012, J. Robotics Mechatronics.

1A1-F09 Reliability-Based Reinforcement Learning for Multi-Agent Systems : Analyzing Processes of Acquiring Confliction Avoidance Behaviors(Evolution and Learning for Robotics(1))

Kazuaki Yamada, Satoru Takano, 2012 .

Reinforcement learning approach to acquisition of stable gaits for locomotion robots

Kazuaki Yamada, Mikhail Svinin, Kanji Ueda, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

1A1-F10 Neural Network Reinforcement Learning for Different-Species Sensor Integration(Evolution and Learning for Robotics(1))

Kazuaki Yamada, Mitsutaka Muraishi, 2012 .

1P1-M01 Prediction Control System using RNN and Fuzzy Rules : An Adaptation to The Fly Ball Catch Problem(Evolution and Learning for Robotics (2))

Kazuaki Yamada, 2013 .

A Mutli-agent Systems Approach to Analyze Online Community Activities(Multi-agent and Learning,Session: TP2-A)

Kazuaki Yamada, Kumiyo Nakakoji, Kanji Ueda, 2004 .

Reinforcement Learning using Sigmoid Networks and Griddy-Gibbs Sampler for Mobile Robots

Kazuaki Yamada, 2010 .

Behavior Acquisition of Autonomous Mobile Robots Using Instance-Based Classifier Generator

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 1999 .

Development of a Walking Promotion Device using Arm Swing Induced by Parametric Excitation : Second report: Design of second prototype

Akihiro Matsumoto, Daisuke Chugo, Sho Yokota, 2021, 2021 22nd IEEE International Conference on Industrial Technology (ICIT).