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Tomoki 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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