Fumito Uwano

According to our database, Fumito Uwano authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario.

Ryota Kubo, Fumito Uwano, Manabu Ohta

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

An End-to-End Table Structure Analysis Method Using Graph Attention Networks.

Manabu Ohta, Hiroyuki Aoyagi, Fumito Uwano, Teruhito Kanazawa, Atsuhiro Takasu

Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023

Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System.

Fumito Uwano

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Hierarchical Frames-of-References in Learning Classifier Systems.

Fumito Uwano, Will N. Browne

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach.

Fumito Uwano, Keiki Takadama

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

2022

Table-structure Recognition Method Consisting of Plural Neural Network Modules.

Hiroyuki Aoyagi, Teruhito Kanazawa, Atsuhiro Takasu, Fumito Uwano, Manabu Ohta

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning.

Fumito Uwano

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media.

Fumito Uwano, Daiki Yamane, Keiki Takadama

Proceedings of the Human Interface and the Management of Information: Visual and Information Design, 2022

2021

Directionality Reinforcement Learning to Operate Multi-Agent System without Communication.

Fumito Uwano, Keiki Takadama

CoRR, 2021

A Cooperative Learning Method for Multi-Agent System with Different Input Resolutions.

Fumito Uwano

Proceedings of the 4th International Symposium on Agents, Multi-Agent Systems and Robotics, 2021

2020

Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism.

Fumito Uwano, Keiki Takadama

SN Comput. Sci., 2020

How to Emote for Consensus Building in Virtual Communication.

Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama

Proceedings of the Human Interface and the Management of Information. Interacting with Information, 2020

2019

How to Design Adaptable Agents to Obtain a Consensus with Omoiyari.

Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama

Proceedings of the Human Interface and the Management of Information. Visual Information and Knowledge Management, 2019

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions.

Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems.

Fumito Uwano, Keiki Takadama

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model.

Eiki Kitajima, Caili Zhang, Haruyuki Ishii, Fumito Uwano, Keiki Takadama

Proceedings of the Human Interface and the Management of Information. Interaction, Visualization, and Analytics, 2018

Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining.

Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change.

Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor.

Fumito Uwano, Keiki Takadama

Proceedings of the 2018 AAAI Spring Symposia, 2018

Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate.

Akari Tobaru, Fumito Uwano, Takuya Iwase, Kazuma Matsumoto, Ryo Takano, Yusuke Tajima, Yuta Umenai, Keiki Takadama

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration.

Fumito Uwano, Yusuke Tajima, Akinori Murata, Keiki Takadama

J. Robotics Mechatronics, 2017

Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation.

Fumito Uwano, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning.

Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment.

Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

2016

Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach.

Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs

EAI Endorsed Trans. Collab. Comput., 2016

Proceedings in Adaptation, Learning and Optimization.

Fumito Uwano, Keiki Takadama

Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

A modified cuckoo search algorithm for dynamic optimization problems.

Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model.

Tomohiro Harada, Fumito Uwano, Takahiro Komine, Yusuke Tajima, Takahiro Kawashima, Morito Morishima, Keiki Takadama

Proceedings of the 2016 AAAI Spring Symposia, 2016