Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach. - Yasutake Takahashi; Tomoki Nishi; Minoru Asada (RoboCup, 2005)

Incremental Purposive Behavior Acquisition based on Modular Learning System. - Tomoki Nishi; Yasutake Takahashi; Minoru Asada (IAS, 2006)

Incremental behavior acquisition based on reliability of observed behavior recognition. - Tomoki Nishi; Yasutake Takahashi; Minoru Asada (IROS, 2007)

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. - Takanori Oku; Kanna Uno; Tomoki Nishi; Masayuki Kageyama; Pipatthana Phatiwuttipat; Keitaro Koba; Yuto Yamashita; Kenta Murakami; Mitsunori Uemura; Hiroaki Hirai; Fumio Miyazaki; Hiroaki Naritomi (EMBC, 2014)

Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. - Bunyo Okumura; Michael R. James 001; Yusuke Kanzawa; Matthew Derry; Katsuhiro Sakai; Tomoki Nishi; Danil V. Prokhorov (IEEE Trans. Intell. Veh., 2016)

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. - Natsumi Kataoka; Hiroaki Hirai; Taya Hamilton; Fumiaki Yoshikawa; Akira Kuroiwa; Yuma Nagakawa; Eichi Watanabe; Yudai Ninomaru; Yuri Saeki; Mitsunori Uemura; Fumio Miyazaki; Hiroshi Nakata; et al. (ICORR, 2017)

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. - Tomoki Nishi; Prashant Doshi; Michael R. James 001; Danil V. Prokhorov (CoRR, 2017)

Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic. - Tomoki Nishi; Prashant Doshi; Danil V. Prokhorov (CoRR, 2017)

Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets. - Tomoki Nishi; Keisuke Otaki; Keiichiro Hayakawa; Takayoshi Yoshimura (ITSC, 2018)

Cooperative Routing with Heterogeneous Vehicles. - Keisuke Otaki; Satoshi Koide; Ayano Okoso; Tomoki Nishi (AAMAS, 2019)

Multi-agent Path Planning with Heterogeneous Cooperation. - Keisuke Otaki; Satoshi Koide; Keiichiro Hayakawa; Ayano Okoso; Tomoki Nishi (ICTAI, 2019)

Multi-Agent Path Finding with Priority for Cooperative Automated Valet Parking. - Ayano Okoso; Keisuke Otaki; Tomoki Nishi (ITSC, 2019)

Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning. - Tomoki Nishi; Prashant Doshi; Danil V. Prokhorov (IEEE Trans. Intell. Veh., 2019)

Cooperative Routing Problem between Customers and Vehicles for On-demand Mobile Facility Services. - Tomoki Nishi; Keisuke Otaki; Ayano Okoso; Alex Fukunaga (ITSC, 2020)

Multi-Agent Path Finding with Destination Choice. - Ayano Okoso; Keisuke Otaki; Tomoki Nishi (PRIMA, 2020)

Distance-Based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents. - Keisuke Otaki; Satoshi Koide; Ayano Okoso; Tomoki Nishi (PRIMA, 2020)

Cooperative Path Planning for Heterogeneous Agents. - Keisuke Otaki; Satoshi Koide; Ayano Okoso; Tomoki Nishi (SOCS, 2020)

Network-Flow-Problem-Based Approach to Multi-Agent Path Finding for Connected Autonomous Vehicles. - Ayano Okoso; Bunyo Okumura; Keisuke Otaki; Tomoki Nishi (ITSC, 2021)

High Density Automated Valet Parking via Multi-agent Path Finding. - Ayano Okoso; Keisuke Otaki; Satoshi Koide; Tomoki Nishi (ITSC, 2022)

Optimization-based Predictive Approach for On-Demand Transportation. - Keisuke Otaki; Tomoki Nishi; Takahiro Shiga; Toshiki Kashiwakura (PRICAI (3), 2022)

Discrete-Choice Model with Generalized Additive Utility Network. - Tomoki Nishi; Yusuke Hara (CoRR, 2023)