| Autonomous vehicle action planning using behavior prediction B Okumura, MR James, K Sakai, T Nishi US Patent 9,511,767, 2016 | 195 | 2016 |
| Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets T Nishi, K Otaki, K Hayakawa, T Yoshimura The 21st IEEE International Conference on Intelligent Transportation Systems …, 2018 | 192 | 2018 |
| Challenges in perception and decision making for intelligent automotive vehicles: a case study B Okumura, M James, Y Kanzawa, M Derry, K Sakai, T NIshi, D Prokhorov IEEE Transactions on Intelligent Vehicles 1 (1), 20 - 32, 2016 | 96 | 2016 |
| Merging in Congested Freeway Traffic using Multipolicy Decision Making and Passive Actor-Critic Learning T Nishi, P Doshi, D Prokhorov IEEE Transactions on Intelligent Vehicles, 2019 | 79 | 2019 |
| Autonomous molecular design by Monte-Carlo tree search and rapid evaluations using molecular dynamics simulations S Kajita, T Kinjo, T Nishi Communications Physics 3, 2020 | 69 | 2020 |
| Multi-Agent Path Finding with Priority for Cooperative Automated Valet Parking A Okoso, K Otaki, T Nishi The 22th IEEE International Conference on Intelligent Transportation Ssystems, 2019 | 56 | 2019 |
| Autonomous operation for an autonomous vehicle objective in a multi-vehicle environment T Nishi US Patent 10,296,004, 2019 | 36 | 2019 |
| 2018 21st International Conference on Intelligent Transportation Systems (ITSC) T Nishi, K Otaki, K Hayakawa, T Yoshimura 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 30 | 2018 |
| Generating pedestrian walking behavior considering detour and pause in the path under space-time constraints K Hidaka, K Hayakawa, T Nishi, T Usui, T Yamamoto Transportation Research Part C: Emerging Technologies 108, 115 -- 129, 2019 | 29 | 2019 |
| Autonomous operation capability configuration for a vehicle T Nishi US Patent 10,235,881, 2019 | 26 | 2019 |
| Online learning and vehicle control method based on reinforcement learning without active exploration T Nishi US Patent 10,065,654, 2018 | 25 | 2018 |
| Control policy learning and vehicle control method based on reinforcement learning without active exploration T Nishi US Patent 10,061,316, 2018 | 22 | 2018 |
| 3D-microbattery architectural design optimization using automatic geometry generator and transmission-line model K Miyamoto, T Sasaki, T Nishi, Y Itou, T Kensuke iScience, 2020 | 18 | 2020 |
| Does BEV always help to reduce CO2 emission? impact of charging strategy R Kataoka, K Ogimoto, Y Iwafune, T Nishi Transportation Research Part D 129, 2024 | 16 | 2024 |
| High density automated valet parking via multi-agent path finding A Okoso, K Otaki, S Koide, T Nishi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 12 | 2022 |
| Morphology and physical properties of three component incompatible polymer alloys T Hayashi Kobunshi Ronbunshu 49, 373-382, 1992 | 11 | 1992 |
| Storage battery module rental system, rental method, and rental program I Satoshi, K Yamada, M ISHIKAWA, A Sato, M Ishigaki, S Tomura, ... US Patent 10,846,786, 2020 | 10 | 2020 |
| System, and method for swapping self driving energy module for an energy management system M Ishigaki, T Nishi, G BUCSAN US Patent 10,981,465, 2021 | 9 | 2021 |
| Multi-Agent Path Planning with Heterogeneous Cooperation K Otaki, S Koide, K Hayakawa, A Okoso, T Nishi The IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019 | 8 | 2019 |
| Cooperative Routing with Heterogeneous Vehicles K Otaki, S Koide, A Okoso, T Nishi International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019 | 6 | 2019 |
Keisuke OtakiToyota Central R&D Labs., Inc.Verified email at mosk.tytlabs.co.jp
