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ORCIDTomoki Nishi
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2020 – today
- 2023
[i3]Tomoki Nishi, Yusuke Hara:
Discrete-Choice Model with Generalized Additive Utility Network. CoRR abs/2309.16970 (2023)- 2022
- [c16]Ayano Okoso, Keisuke Otaki, Satoshi Koide, Tomoki Nishi
:
High Density Automated Valet Parking via Multi-agent Path Finding. ITSC 2022: 2146-2153 - [c15]Keisuke Otaki, Tomoki Nishi, Takahiro Shiga, Toshiki Kashiwakura:
Optimization-based Predictive Approach for On-Demand Transportation. PRICAI (3) 2022: 466-477 - 2021
- [c14]Ayano Okoso, Bunyo Okumura, Keisuke Otaki, Tomoki Nishi:
Network-Flow-Problem-Based Approach to Multi-Agent Path Finding for Connected Autonomous Vehicles. ITSC 2021: 1946-1953 - 2020
- [c13]Tomoki Nishi, Keisuke Otaki, Ayano Okoso, Alex Fukunaga:
Cooperative Routing Problem between Customers and Vehicles for On-demand Mobile Facility Services. ITSC 2020: 1-6 - [c12]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Distance-Based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents. PRIMA 2020: 116-132 - [c11]Ayano Okoso, Keisuke Otaki, Tomoki Nishi:
Multi-Agent Path Finding with Destination Choice. PRIMA 2020: 368-376 - [c10]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Cooperative Path Planning for Heterogeneous Agents. SOCS 2020: 133-134
2010 – 2019
- 2019
- [j2]Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov:
Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning. IEEE Trans. Intell. Veh. 4(2): 287-297 (2019) - [c9]Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Cooperative Routing with Heterogeneous Vehicles. AAMAS 2019: 2150-2152 - [c8]Keisuke Otaki, Satoshi Koide, Keiichiro Hayakawa, Ayano Okoso, Tomoki Nishi:
Multi-agent Path Planning with Heterogeneous Cooperation. ICTAI 2019: 93-100 - [c7]Ayano Okoso, Keisuke Otaki, Tomoki Nishi:
Multi-Agent Path Finding with Priority for Cooperative Automated Valet Parking. ITSC 2019: 2135-2140 - 2018
- [c6]Tomoki Nishi, Keisuke Otaki, Keiichiro Hayakawa, Takayoshi Yoshimura:
Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets. ITSC 2018: 877-883 - 2017
- [c5]Natsumi Kataoka, Hiroaki Hirai, Taya Hamilton, Fumiaki Yoshikawa, Akira Kuroiwa, Yuma Nagakawa, Eichi Watanabe, Yudai Ninomaru, Yuri Saeki, Mitsunori Uemura, Fumio Miyazaki, Hiroshi Nakata, Tomoki Nishi, Hiroaki Naritomi, Hermano Igo Krebs:
Effects of partial body-weight support and functional electrical stimulation on gait characteristics during treadmill locomotion: Pros and cons of saddle-seat-type body-weight support. ICORR 2017: 381-386 - [i2]Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov:
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. CoRR abs/1706.01077 (2017) - [i1]Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov:
Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic. CoRR abs/1707.04489 (2017) - 2016
- [j1]Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov:
Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. IEEE Trans. Intell. Veh. 1(1): 20-32 (2016) - 2014
- [c4]Takanori Oku, Kanna Uno, Tomoki Nishi, Masayuki Kageyama, Pipatthana Phatiwuttipat, Keitaro Koba, Yuto Yamashita, Kenta Murakami, Mitsunori Uemura, Hiroaki Hirai, Fumio Miyazaki, Hiroaki Naritomi:
Pilot study on quantitative assessment of muscle imbalance: Differences of muscle synergies, equilibrium-point trajectories, and endpoint stiffness in normal and pathological upper-limb movements. EMBC 2014: 5784-5787
2000 – 2009
- 2007
- [c3]Tomoki Nishi, Yasutake Takahashi, Minoru Asada:
Incremental behavior acquisition based on reliability of observed behavior recognition. IROS 2007: 70-75 - 2006
- [c2]Tomoki Nishi, Yasutake Takahashi, Minoru Asada:
Incremental Purposive Behavior Acquisition based on Modular Learning System. IAS 2006: 702-709 - 2005
- [c1]Yasutake Takahashi, Tomoki Nishi, Minoru Asada:
Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach. RoboCup 2005: 640-647
Coauthor Index
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