| 2026 | COMPSAC | Graph Orientation for Efficient Multi-Agent Pickup and Delivery Using Genetic Algorithm. | Yuki Miyashita, Toshiharu Sugawara |
| 2025 | ICAART | Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems. | Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara |
| 2025 | PAAMS | Learning Controllability Using Destination Channels with Reward Navigation in Multi-agent Systems. | Gentoku Nakasone, Yamato Takahagi, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara |
| 2024 | ICAART | Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem. | Yuki Miyashita, Toshiharu Sugawara |
| 2024 | ICMLA | Efficient Retraining for Continuous Operability Through Strategic Directives. | Gentoku Nakasone, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara |
| 2024 | PRIMA | Path Finding with Flexible Provisional Booking in Multi-agent Pickup and Delivery Problems. | Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara |
| 2022 | COMPSAC | Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution. | Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara |
| 2022 | ICMLA | Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. | Yuki Miyashita, Toshiharu Sugawara |
| 2022 | KES | Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. | Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara |
| 2022 | PAAMS | Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks. | Yoshihiro Oguni, Yuki Miyashita, Toshiharu Sugawara |
| 2022 | PRIMA | Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization. | Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara |
| 2021 | EUMAS | Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks. | Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara |
| 2020 | ICONIP | Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. | Yuki Miyashita, Toshiharu Sugawara |
| 2020 | PRIMA | Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning. | Ken Smith, Yuki Miyashita, Toshiharu Sugawara |
| 2019 | ICANN | Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. | Yuki Miyashita, Toshiharu Sugawara |
| 2019 | PRIMA | Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions. | Yuki Miyashita, Toshiharu Sugawara |
| 2016 | ICAART | Switching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization. | Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara |
| 2016 | ICAART | Adaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments. | Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara |