Formation of Association Structures Based on Reciprocity and Their Performance in Allocation Problems. - Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara (COIN@AAMAS/IJCAI, 2015)

Self-Organizational Reciprocal Agents for Conflict Avoidance in Allocation Problems. - Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara (SASO, 2015)

Switching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization. - Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara (ICAART (1), 2016)

Adaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments. - Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara (ICAART (Revised Selected Papers), 2016)

Preliminary Study of Classifier Fusion Based Indoor Positioning Method. - Yuki Miyashita; Mahiro Oura; Juan Francisco de Paz; Kenji Matsui; Gabriel Villarrubia; Juan M. Corchado (ISAmI, 2016)

Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. - Yuki Miyashita; Toshiharu Sugawara (AAMAS, 2019)

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. - Yuki Miyashita; Toshiharu Sugawara (ICANN (1), 2019)

Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions. - Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2019)

Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. - Yuki Miyashita; Toshiharu Sugawara (ICONIP (2), 2020)

Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning. - Ken Smith; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2020)

Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (EUMAS, 2021)

Analysis of coordinated behavior structures with multi-agent deep reinforcement learning. - Yuki Miyashita; Toshiharu Sugawara (Appl. Intell., 2021)

Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (AAMAS, 2022)

Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution. - Yuki Miyashita; Tomoki Yamauchi; Toshiharu Sugawara (COMPSAC, 2022)

Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. - Yuki Miyashita; Toshiharu Sugawara (ICMLA, 2022)

Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. - Yukita Fujitani; Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (KES, 2022)

Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks. - Yoshihiro Oguni; Yuki Miyashita; Toshiharu Sugawara (PAAMS, 2022)

Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2022)

Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning. - Yuki Miyashita; Toshiharu Sugawara (Auton. Intell. Syst., 2022)

Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. - Yuki Miyashita; Tomoki Yamauchi; Toshiharu Sugawara (AAMAS, 2023)

Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (SN Comput. Sci., 2023)

Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem. - Yuki Miyashita; Toshiharu Sugawara (ICAART (1), 2024)

Efficient Retraining for Continuous Operability Through Strategic Directives. - Gentoku Nakasone; Yoshinari Motokawa; Yuki Miyashita; Toshiharu Sugawara (ICMLA, 2024)

Path Finding with Flexible Provisional Booking in Multi-agent Pickup and Delivery Problems. - Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2024)

Deep Reinforcement Learning with Local Communications for Continuous Pathfinding Problems in Multi-Agent Systems. - Yosuke Fujisawa; Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (WI/IAT, 2024)

Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems. - Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (ICAART (3), 2025)