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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2024-03-01 13:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | A Duplication-Free Pattern Formation Method Using Particle Swarm Optimization Kotaro Yamada, Toshiharu Sugawara (Waseda Univ.)  AI2023-37 |
In this research, we apply swarm intelligence algorithms to the multi-agent pattern formation problem (MAPFP) and propos... [more] | AI2023-37 pp.1-6 |
| AI | 2024-03-01 15:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Performance Improvement for Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.) AI2023-42 |
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] | AI2023-42 pp.31-36 |
| AI | 2023-09-13 09:40 |
Hokkaido | AI2023-13 |
(To be available after the conference date) [more] | AI2023-13 pp.66-71 |
|
| AI | 2023-09-12 17:10 |
Hokkaido | AI2023-22 |
(To be available after the conference date) [more] | AI2023-22 pp.121-127 |
|
| AI | 2023-09-12 16:30 |
Hokkaido | AI2023-33 |
(To be available after the conference date) [more] | AI2023-33 pp.194-200 |
|
| AI | 2022-12-21 10:20 |
Fukuoka | AI2022-34 |
(To be available after the conference date) [more] | AI2022-34 pp.7-12 |
|
| AI | 2022-12-21 16:30 |
Fukuoka | Agent based Modeling and Reinforcement Learning for optimal allocation of resources Rashmi Tilak, Toshiharu Sugawara (Waseda Univ.) AI2022-45 |
We propose a model and notation for business process for delivery of parcels using drones and attempt to improve the tot... [more] | AI2022-45 pp.68-73 |
|
| AI | 2022-12-21 16:50 |
Fukuoka | Distributed Action Planning and Execution with fluctuated movement for Iterative Multi-agent Path Planning Yuki Miyashita (Shimizu Corp.), Tomoki Yamauchi, Toshiharu Sugawara (Waseda Univ) AI2022-46 |
This study proposes a distributed planning method with asynchronous execution for the multi-agent pick up and delivery (... [more] | AI2022-46 pp.74-79 |
|
| AI | 2022-09-15 16:05 |
Shizuoka | (Primary: On-site, Secondary: Online) |
AI2022-25 |
(To be available after the conference date) [more] | AI2022-25 pp.42-47 |
| AI | 2022-09-16 13:30 |
Shizuoka | (Primary: On-site, Secondary: Online) |
Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game Junjie Zhong, Toshiharu Sugawara (Waseda Univ.) AI2022-26 |
Multi-agent interaction structures that contain mixed cooperative-competitive relationships appear in many realistic sit... [more] | AI2022-26 pp.48-53 |
| AI | 2022-09-16 15:25 |
Shizuoka | (Primary: On-site, Secondary: Online) |
Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara (Waseda Univ.) AI2022-31 |
In this paper, we propose a method for autonomously reducing energy consumption while satisfying quality requirements in... [more] | AI2022-31 pp.73-78 |
| AI | 2022-02-28 13:40 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-18 |
In this study, we propose a method to automatically generate formation control that reduce battery consumption in Unman... [more] |
AI2021-18 pp.35-40 |
| AI | 2022-02-28 15:40 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-23 |
[more] | AI2021-23 pp.65-70 |
| AI | 2020-12-11 09:05 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An Automated Driving Strategy for Microscopic Road Traffic Using Multi-Agent Deep Reinforcement Learning Ryota Suwa, Toshiharu Sugawara (Waseda Univ.) AI2020-7 |
This study proposes a method for interaction-aware automated driving in microscopic road traffic simulations using multi... [more] | AI2020-7 pp.34-38 |
| AI | 2019-11-28 14:20 |
Fukuoka | Action Planning considering State of Agents for Multi-Agent Pickup and Delivery Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara (Waseda Univ.) AI2019-33 |
(To be available after the conference date) [more] | AI2019-33 pp.19-24 |
|
| AI, IPSJ-ICS, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI | 2019-03-09 13:40 |
Hokkaido | Please fill in Takato Yamazaki, Toshiharu Sugawara (Weseda Univ.) AI2018-55 |
Multi-Agent Systems (MAS) enable modeling an environment where multiple agents interfere with each other, and it can be ... [more] | AI2018-55 pp.13-18 |
|
| AI | 2018-07-02 13:00 |
Hokkaido | Similarity Estimation of Behavior with Position Information in Multi-Agent Continuous Cooperative Patrolling Problem Ayumi Sugiyama, Sea Vourchteang, Toshiharu Sugawara (Waseda Univ.) AI2018-5 |
(To be available after the conference date) [more] | AI2018-5 pp.23-28 |
|
| AI | 2018-07-02 13:25 |
Hokkaido | Influence on price and inventory strategy of competing retailers by distance between stores Naoya Ogata, Toshiharu Sugawara (Waseda Univ.) AI2018-6 |
In this research, genetic algorithm and multi agent simulation are integrated to learn pricing strategy and inventory st... [more] | AI2018-6 pp.29-34 |
|
| AI | 2017-11-24 11:20 |
Fukuoka | AI2017-9 |
(To be available after the conference date) [more] | AI2017-9 pp.13-18 |
|
| AI | 2017-11-24 16:45 |
Fukuoka | [more] | |||
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