| 2019 | ICAART | Learning of Activity Cycle Length based on Battery Limitation in Multi-agent Continuous Cooperative Patrol Problems. | Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara |
| 2019 | ICAART | Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length. | Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara |
| 2019 | KES | Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems. | Lingying Wu, Ayumi Sugiyama, Toshiharu Sugawara |
| 2018 | CPAIOR | Frequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload. | Vourchteang Sea, Ayumi Sugiyama, Toshiharu Sugawara |
| 2017 | ICMLA | Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game. | Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara |
| 2017 | KES | Adaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments. | Naoki Iijima, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara |
| 2017 | PAAMS | Improvement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem. | Ayumi Sugiyama, Toshiharu Sugawara |
| 2016 | ICTAI | Effective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks. | Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara |
| 2015 | SAC | Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks. | Ayumi Sugiyama, Toshiharu Sugawara |
| 2014 | PRIMA | Autonomous Strategy Determination with Learning of Environments in Multi-agent Continuous Cleaning. | Ayumi Sugiyama, Toshiharu Sugawara |