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Toshiharu Sugawara

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

92

Venues

32

Active years

2000–2026

Best venue rank

A*

Where they publish

Papers

92 indexed papers, newest first.

YearVenueTitleAuthors
2026COMPSACGraph Orientation for Efficient Multi-Agent Pickup and Delivery Using Genetic Algorithm.Yuki Miyashita, Toshiharu Sugawara
2026COMPSACLanguage-Grounded Strategy-Following Multi-Agent Deep Reinforcement Learning for Controllability of Real-World Applications.Yoshinari Motokawa, Toshiharu Sugawara
2026ICAARTTransformer-Based Action Prediction for Efficient Mutual Modeling in Multi-Agent Reinforcement Learning.Kohei Suzuki, Toshiharu Sugawara
2026ICAARTBlock Stacking Problem by Group of Agents Using Particle Swarm Optimization.Kotaro Yamada, Stephen Raharja, Toshiharu Sugawara
2025ICAARTMulti-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems.Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara
2025IJCNNEnhanced Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning.Yoshinari Motokawa, Toshiharu Sugawara
2025IJCNNMARL-HE: An Improved Multi-agent Reinforcement Learning-based Pathfinding Method for Fire Evacuation Guidance.Ke Zhang, Dandan Zhu, Xiaoning Zhao, Sun Cherry, Yosuke Fujisawa, Toshiharu Sugawara
2025KES3PS: Periodical Partial Policy Sharing for Distributed Cooperative Multi-agent Reinforcement Learning.Ke Zhang, Dandan Zhu, Xiaoning Zhao, Toshiharu Sugawara
2025PAAMSPrioritized Path Planning for Multi-agent Pickup and Delivery with Multi-item Packing Problem.Yosuke Fujisawa, Yusaku Wakasugi, Kazuya Nakazawa, Ryo Matsubara, Toshiharu Sugawara
2025PAAMSLearning Controllability Using Destination Channels with Reward Navigation in Multi-agent Systems.Gentoku Nakasone, Yamato Takahagi, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara
2025SMCConflict-Free Multi-Agent Path Generation Using Ant Colony Optimization with Load Balancing.Ryusuke Kazama, Toshiharu Sugawara
2024ICAARTScheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem.Yuki Miyashita, Toshiharu Sugawara
2024ICMLAEfficient Retraining for Continuous Operability Through Strategic Directives.Gentoku Nakasone, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara
2024ICMLAAction Selection in Reinforcement Learning with Upgoing Policy Update.Xiaoning Zhao, Toshiharu Sugawara
2024INISTAPerformance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning.Kohei Suzuki, Toshiharu Sugawara
2024KESMulti-Agent Reinforcement Learning with Clustering and Experience Sharing.Kaname Inokuchi, Toshiharu Sugawara
2024KESOverlap-Free Pattern Formation Method Using Particle Swarm Optimization.Kotaro Yamada, Toshiharu Sugawara
2024PRIMAPath Finding with Flexible Provisional Booking in Multi-agent Pickup and Delivery Problems.Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara
2023EANNModeling Others as a Player in Non-cooperative Game for Multi-agent Coordination.Junjie Zhong, Toshiharu Sugawara
2023ICAARTAutonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem.Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara
2023IJCNNInterpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning.Yoshinari Motokawa, Toshiharu Sugawara
2023KESStrategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction.Yoshinari Motokawa, Toshiharu Sugawara
2022COMPSACDistributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution.Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara
2022ICAARTTask Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling.Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
2022ICAARTNegotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent Patrol Problems.Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
2022ICMLAFlexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning.Yuki Miyashita, Toshiharu Sugawara
2022ICONIPImbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-agent Games.Yidong Bai, Toshiharu Sugawara
2022IJCNNDistributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise.Yoshinari Motokawa, Toshiharu Sugawara
2022KESDeadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority.Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
2022PAAMSShifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks.Yoshihiro Oguni, Yuki Miyashita, Toshiharu Sugawara
2022PRIMATask Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization.Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
2021EUMASPath and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks.Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara
2021FlAIRSReducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems.Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara
2021ICAARTEffective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency.Katsuya Hattori, Toshiharu Sugawara
2021ICAARTDistributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning.Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara
2021ICANNMAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities.Yoshinari Motokawa, Toshiharu Sugawara
2020AAAIMulti-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract).Elhadji Amadou Oury Diallo, Toshiharu Sugawara
2020ICAARTLearning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning.Zean Zhu, Elhadji Amadou Oury Diallo, Toshiharu Sugawara
2020ICONIPCoordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay.Yuki Miyashita, Toshiharu Sugawara
2020IJCNNMulti-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach.Elhadji Amadou Oury Diallo, Toshiharu Sugawara
2020IJCNNMeta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method.Xiaohui Zhu, Toshiharu Sugawara
2020KESMulti-Agent Task Allocation Based on the Learning of Managers and Local Preference Selections.Yuka Ishihara, Toshiharu Sugawara
2020PAAMSMulti-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning.Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara
2020PRIMAPolicy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning.Jiahao Peng, Toshiharu Sugawara
2020PRIMAAnalysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning.Ken Smith, Yuki Miyashita, Toshiharu Sugawara
2019GECCOMultiple world genetic algorithm to analyze individually advantageous behaviors in complex networks.Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
2019ICAARTLearning of Activity Cycle Length based on Battery Limitation in Multi-agent Continuous Cooperative Patrol Problems.Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara
2019ICAARTImprovement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length.Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara
2019ICANNCooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions.Yuki Miyashita, Toshiharu Sugawara
2019ICTAICoordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability.Elhadji Amadou Oury Diallo, Toshiharu Sugawara
2019KESEnergy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems.Lingying Wu, Ayumi Sugiyama, Toshiharu Sugawara
2019KESFair and Effective Elevator Car Dispatching Method in Elevator Group Control System using Cameras.Tomoki Yamauchi, Rina Ide, Toshiharu Sugawara
2019PRIMACoordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions.Yuki Miyashita, Toshiharu Sugawara
2019PRIMAStrategies for Energy-Aware Multi-agent Continuous Cooperative Patrolling Problems Subject to Requirements.Lingying Wu, Toshiharu Sugawara
2019SMCMultiple-World Genetic Algorithm to Identify Locally Reasonable Behaviors in Complex Social Networks.Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
2018CPAIORFrequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload.Vourchteang Sea, Ayumi Sugiyama, Toshiharu Sugawara
2018PRIMALearning Strategic Group Formation for Coordinated Behavior in Adversarial Multi-Agent with Double DQN.Elhadji Amadou Oury Diallo, Toshiharu Sugawara
2018WWWEvolutionary Learning Model of Social Networking Services with Diminishing Marginal Utility.Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
2017DASCAsynchronous Agent Teams for Collaborative Tasks Based on Bottom-Up Alliance Formation and Adaptive Behavioral Strategies.Masashi Hayano, Naoki Iijima, Toshiharu Sugawara
2017ICMLALearning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game.Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara
2017KESAdaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments.Naoki Iijima, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara
2017PAAMSImprovement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem.Ayumi Sugiyama, Toshiharu Sugawara
2016ICAARTSwitching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization.Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara
2016ICAARTAdaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments.Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara
2016ICTAIEffective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks.Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara
2016PRIMASpread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation.Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara
2015PRIMAFair Assessment of Group Work by Mutual Evaluation with Irresponsible and Collusive Students Using Trust Networks.Yumeno Shiba, Haruna Umegaki, Toshiharu Sugawara
2015SACMeta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks.Ayumi Sugiyama, Toshiharu Sugawara
2014FIEFair assessment of group work by mutual evaluation based on trust network.Yumeno Shiba, Toshiharu Sugawara
2014PRIMAAutonomous Strategy Determination with Learning of Environments in Multi-agent Continuous Cleaning.Ayumi Sugiyama, Toshiharu Sugawara
2013PRIMADecentralized Area Partitioning for a Cooperative Cleaning Task.Chihiro Kato, Toshiharu Sugawara
2012PRIMATwo-Sided Parameter Learning of Role Selections for Efficient Team Formation.Dai Hamada, Toshiharu Sugawara
2011AINAAnalysis of Spoofed IP Traffic Using Time-to-Live and Identification Fields in IP Headers.Masayuki Ohta, Yoshiki Kanda, Kensuke Fukuda, Toshiharu Sugawara
2011IJCAIEmergence and Stability of Social Conventions in Conflict Situations.Toshiharu Sugawara
2011ICTAIAdaptive Routing Point Control in Virtualized Local Area Networks Using Particle Swarm Optimizations.Kensuke Takahashi, Toshio Hirotsu, Toshiharu Sugawara
2010AINAA PCA Analysis of Daily Unwanted Traffic.Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Toshiharu Sugawara
2010GECCOAdaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation.Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara
2010GLOBECOMEvaluation of Anomaly Detection Based on Sketch and PCA.Yoshiki Kanda, Kensuke Fukuda, Toshiharu Sugawara
2010ICAARTProbabilistic Award Strategy for Contract Net Protocol in Massively Multi-agent Systems.Toshiharu Sugawara, Toshio Hirotsu, Kensuke Fukuda
2010LCNDynamic and distributed routing control for virtualized local area networks.Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda, Osamu Akashi, Hirotake Abe, Toshiharu Sugawara
2010PRIMAEffect of Alternative Distributed Task Allocation Strategy Based on Local Observations in Contract Net Protocol.Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara
2008GLOBECOMCorrelation Among Piecewise Unwanted Traffic Time Series.Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Toshiharu Sugawara
2007AINAMulti-Agent Coordination Mechanism Based on Indirect Interaction.Satoshi Kurihara, Kensuke Fukuda, Shin-ya Sato, Toshiharu Sugawara
2007CECPerformance variation due to interference among a large number of self-interested agents.Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda
2007WISEGenerating Extensional Definitions of Concepts from Ostensive Definitions by Using Web.Shin-ya Sato, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara
2007SGAIEffective Selection of Abstract Plans for Multi-Agent Systems.Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Toshihiro Takada
2006PRICAIAdaptive Agent Selection in Large-Scale Multi-Agent Systems.Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara
2006SIGCOMMPolicy-based BGP control architecture for autonomous routing management.Osamu Akashi, Kensuke Fukuda, Toshio Hirotsu, Toshiharu Sugawara
2005PRIMAARTISTE: Agent Organization Management System for Multi-Agent Systems.Atsushi Terauchi, Osamu Akashi, Mitsuru Maruyama, Kensuke Fukuda, Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara
2003LCNSecure and Manageable Virtual Private Networks for End-users.Kenichi Kourai, Toshio Hirotsu, Koji Sato, Osamu Akashi, Kensuke Fukuda, Toshiharu Sugawara, Shigeru Chiba
2003PRIMAExtraction of Implicit Resource Relationships in Multi-agent Systems.Toshiharu Sugawara, Satoshi Kurihara, Osamu Akashi
2000NOMSMultiagent-based cooperative inter-AS diagnosis in ENCORE.Osamu Akashi, Toshiharu Sugawara, Ken Murakami, Mitsuru Maruyama, Naohisa Takahashi