Toshiharu Sugawara

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 90

Top Venues

Publications

Yidong Bai, Toshiharu Sugawara
Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution. CoRR (2024)
Yoshie Suzuki, Stephen Raharja, Toshiharu Sugawara
Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations. J. Adv. Comput. Intell. Intell. Informatics 28 (1) (2024)
Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara
Game-theoretic implications for uncovering the effects of virtual tipping in complex user networks. Appl. Netw. Sci. 9 (1) (2024)
Yidong Bai, Toshiharu Sugawara
Locally Centralized Execution for Less Redundant Computation in Multi-Agent Cooperation. Inf. 15 (5) (2024)
Yuki Miyashita, Toshiharu Sugawara
Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem. ICAART (1) (2024)
Yidong Bai, Toshiharu Sugawara
Learning to Communicate Using Action Probabilities for Multi-Agent Cooperation. ICA (2023)
Yoshinari Motokawa, Toshiharu Sugawara
Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction. KES (2023)
Yoshinari Motokawa, Toshiharu Sugawara
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. CoRR (2023)
Yoshinari Motokawa, Toshiharu Sugawara
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. IJCNN (2023)
Yutaro Usui, Fujio Toriumi, Toshiharu Sugawara
User behaviors in consumer-generated media under monetary reward schemes. J. Comput. Soc. Sci. 6 (1) (2023)
Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara
Influence of Virtual Tipping and Collection Rate in Social Live Streaming Services. COMPLEX NETWORKS (4) (2023)
Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara
User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. ASONAM (2023)
Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara
Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem. ICAART (1) (2023)
Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara
Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. AAMAS (2023)
Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara
Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning. CoRR (2023)
Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara
User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. CoRR (2023)
Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara
Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. CoRR (2023)
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints. SN Comput. Sci. 4 (1) (2023)
Junjie Zhong, Toshiharu Sugawara
Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. EANN (2023)
Gentoku Nakasone, Toshiharu Sugawara
Interpretation Using Classified Gradient-Based Saliency Maps for Two-Player Board Games. CoG (2023)
Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. CoRR (2022)
Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
Task Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling. ICAART (1) (2022)
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. CoRR (2022)
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization. PRIMA (2022)
Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. KES (2022)
Yidong Bai, Toshiharu Sugawara
Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-agent Games. ICONIP (2) (2022)
Yoshinari Motokawa, Toshiharu Sugawara
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. IJCNN (2022)
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. AAMAS (2022)
Stephen Raharja, Toshiharu Sugawara
Identifying Top-k Peaks Using an Extended Particle Swarm Optimization Algorithm with Re-diversification Mechanism. IIAI-AAI (2022)
Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent Patrol Problems. ICAART (Revised Selected Paper (2022)
Yoshihiro Oguni, Yuki Miyashita, Toshiharu Sugawara
Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks. PAAMS (2022)
Yuki Miyashita, Toshiharu Sugawara
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. ICMLA (2022)
Yoshinari Motokawa, Toshiharu Sugawara
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. CoRR (2022)
Yuki Miyashita, Toshiharu Sugawara
Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning. Auton. Intell. Syst. 2 (1) (2022)
Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara
Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution. COMPSAC (2022)
Yoshie Suzuki, Stephen Raharja, Toshiharu Sugawara
Fair Formation Control of Multiple Agents Using Ant Colony Optimization. SCIS/ISIS (2022)
Yuki Miyashita, Toshiharu Sugawara
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning. Appl. Intell. 51 (2) (2021)
Yutaro Usui, Fujio Toriumi, Toshiharu Sugawara
Impact of Monetary Rewards on Users' Behavior in Social Media. COMPLEX NETWORKS (2021)
Katsuya Hattori, Toshiharu Sugawara
Effective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency. ICAART (1) (2021)
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks. EUMAS (2021)
Koki Sato, Toshiharu Sugawara
Multi-Agent Task Allocation Based on Reciprocal Trust in Distributed Environments. KES-AMSTA (2021)
Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems. FLAIRS Conference (2021)
Yoshinari Motokawa, Toshiharu Sugawara
MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities. ICANN (4) (2021)
Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara
Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning. ICAART (1) (2021)
Yizhou Yan, Fujio Toriumi, Toshiharu Sugawara
Influence of Retweeting on the Behaviors of Social Networking Service Users. COMPLEX NETWORKS (1) (2020)
Ken Smith, Yuki Miyashita, Toshiharu Sugawara
Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning. PRIMA (2020)
Elhadji Amadou Oury Diallo, Toshiharu Sugawara
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract). AAAI (2020)
Jiahao Peng, Toshiharu Sugawara
Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning. PRIMA (2020)
Elhadji Amadou Oury Diallo, Toshiharu Sugawara
Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach. IJCNN (2020)
Xiaohui Zhu, Toshiharu Sugawara
Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method. IJCNN (2020)
Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara
Coordinated behavior of cooperative agents using deep reinforcement learning. Neurocomputing 396 (2020)
Zean Zhu, Elhadji Amadou Oury Diallo, Toshiharu Sugawara
Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning. ICAART (1) (2020)
Yuki Miyashita, Toshiharu Sugawara
Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. ICONIP (2) (2020)
Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara
Multi-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning. PAAMS (2020)
Yuka Ishihara, Toshiharu Sugawara
Multi-Agent Task Allocation Based on the Learning of Managers and Local Preference Selections. KES (2020)
Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara
Learning of Activity Cycle Length based on Battery Limitation in Multi-agent Continuous Cooperative Patrol Problems. ICAART (1) (2019)
Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara
Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length. ICAART (Revised Selected Papers) (2019)
Yuki Miyashita, Toshiharu Sugawara
Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. AAMAS (2019)
Elhadji Amadou Oury Diallo, Toshiharu Sugawara
Coordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability. ICTAI (2019)
Sonoko Kimura, Kimitaka Asatani, Toshiharu Sugawara
Comparison of Opinion Polarization on Single-Layer and Multiplex Networks. COMPLEX NETWORKS (2) (2019)
Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
Multiple-World Genetic Algorithm to Identify Locally Reasonable Behaviors in Complex Social Networks. SMC (2019)
Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks. GECCO (Companion) (2019)
Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services. COMPLEX NETWORKS (1) (2019)
Yuki Miyashita, Toshiharu Sugawara
Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. ICANN (1) (2019)
Lingying Wu, Ayumi Sugiyama, Toshiharu Sugawara
Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems. KES (2019)
Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara
Emergence of divisional cooperation with negotiation and re-learning and evaluation of flexibility in continuous cooperative patrol problem. Knowl. Inf. Syst. 60 (3) (2019)
Tomoki Yamauchi, Rina Ide, Toshiharu Sugawara
Fair and Effective Elevator Car Dispatching Method in Elevator Group Control System using Cameras. KES (2019)
Lingying Wu, Toshiharu Sugawara
Strategies for Energy-Aware Multi-agent Continuous Cooperative Patrolling Problems Subject to Requirements. PRIMA (2019)
Yuki Miyashita, Toshiharu Sugawara
Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions. PRIMA (2019)
Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
Evolutionary Learning Model of Social Networking Services with Diminishing Marginal Utility. WWW (Companion Volume) (2018)
Vourchteang Sea, Ayumi Sugiyama, Toshiharu Sugawara
Frequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload. CPAIOR (2018)
Ryoya Funato, Toshiharu Sugawara
Efficient Task Allocation with Communication Delay Based on Reciprocal Teams. ICA (2018)
Elhadji Amadou Oury Diallo, Toshiharu Sugawara
Learning Strategic Group Formation for Coordinated Behavior in Adversarial Multi-Agent with Double DQN. PRIMA (2018)
Naoki Iijima, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara
Adaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments. KES (2017)
Masashi Hayano, Naoki Iijima, Toshiharu Sugawara
Asynchronous Agent Teams for Collaborative Tasks Based on Bottom-Up Alliance Formation and Adaptive Behavioral Strategies. DASC/PiCom/DataCom/CyberSciTech (2017)
Tomoaki Otsuka, Toshiharu Sugawara
Robust spread of cooperation by expectation-of-cooperation strategy with simple labeling method. WI (2017)
Vourchteang Sea, Chihiro Kato, Toshiharu Sugawara
Coordinated Area Partitioning Method by Autonomous Agents for Continuous Cooperative Tasks. J. Inf. Process. 25 (2017)
Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara
Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game. ICMLA (2017)
Ayumi Sugiyama, Toshiharu Sugawara
Improvement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem. PAAMS (2017)
Tomoaki Otsuka, Toshiharu Sugawara
Promotion of Robust Cooperation Among Agents in Complex Networks by Enhanced Expectation-of-Cooperation Strategy. COMPLEX NETWORKS (2017)
ChiaWei Yeh, Toshiharu Sugawara
Solving Coalition Structure Generation Problem with Double-Layered Ant Colony Optimization. IIAI-AAI (2016)
Naoki Iijima, Masashi Hayano, Ayumi Sugiyama, Toshiharu Sugawara
Analysis of task allocation based on social utility and incompatible individual preference. TAAI (2016)
Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara
Switching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization. ICAART (1) (2016)
Kengo Osaka, Fujio Toriumi, Toshiharu Sugawara
Effect of Direct Reciprocity on Continuing Prosperity of Social Networking Services. COMPLEX NETWORKS (2016)
Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara
Adaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments. ICAART (Revised Selected Papers) (2016)
Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara
Effective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks. ICTAI (2016)
Kengo Saito, Toshiharu Sugawara
Assignment Problem with Preference and an Efficient Solution Method Without Dissatisfaction. KES-AMSTA (2016)
Yuki Hirahara, Fujio Toriumi, Toshiharu Sugawara
Cooperation-dominant Situations in SNS-norms Game on Complex and Facebook Networks. New Gener. Comput. 34 (3) (2016)
Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara
Emergence of Cooperation in Complex Agent Networks Based on Expectation of Cooperation: (Extended Abstract). AAMAS (2016)
Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara
Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation. PRIMA (2016)
Yuki Miyashita, Masashi Hayano, Toshiharu Sugawara
Formation of Association Structures Based on Reciprocity and Their Performance in Allocation Problems. COIN@AAMAS/IJCAI (2015)
Keisuke Yoneda, Ayumi Sugiyama, Chihiro Kato, Toshiharu Sugawara
Learning and relearning of target decision strategies in continuous coordinated cleaning tasks with shallow coordination. Web Intell. 13 (4) (2015)
Yumeno Shiba, Haruna Umegaki, Toshiharu Sugawara
Fair Assessment of Group Work by Mutual Evaluation with Irresponsible and Collusive Students Using Trust Networks. PRIMA (2015)
Yuki Miyashita, Masashi Hayano, Toshiharu Sugawara
Self-Organizational Reciprocal Agents for Conflict Avoidance in Allocation Problems. SASO (2015)
Ryutaro Kawaguchi, Masashi Hayano, Toshiharu Sugawara
Balanced Team Formation for Tasks with Deadlines. WI-IAT (2) (2015)
Kengo Saito, Toshiharu Sugawara
Single-object resource allocation in multiple bid declaration with preferential order. ICIS (2015)
Ayumi Sugiyama, Toshiharu Sugawara
Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks. SAC (2015)
Vourchteang Sea, Toshiharu Sugawara
Area Partitioning Method with Learning of Dirty Areas and Obstacles in Environments for Cooperative Sweeping Robots. IIAI-AAI (2015)
Toshiharu Sugawara
Emergence of Conventions for Efficiently Resolving Conflicts in Complex Networks. WI-IAT (3) (2014)
Kazuki Urakawa, Toshiharu Sugawara
Learning of Task Allocation Method Based on Reorganization of Agent Networks in Known and Unknown Environments. J. Inf. Process. 22 (2) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Toshiharu Sugawara