activity
20172025
most citedFreeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic

57 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Long-Term Variability in Physiological-Arousal Relationships for Robust Emotion Estimation

Hiroto Sakimura, Takayuki Nagaya, Tomoki Nishi +3

Estimating emotional states from physiological signals is a central topic in affective computing and psychophysiology. While many emotion estimation systems implicitly assume a sta…

cs.AI2023★ 1 cited

Discrete-Choice Model with Generalized Additive Utility Network

Tomoki Nishi, Yusuke Hara

Discrete-choice models are a powerful framework for analyzing decision-making behavior to provide valuable insights for policymakers and businesses. Multinomial logit models (MNLs)…

math.OC2019

NERO: Nested Rebalancing Optimization for Mobility on Demand

Tomoki Nishi, Satoshi Koide, Keisuke Otaki +1

Mobility-on-Demand (MoD) services, such as taxi-like services, are promising applications. Rebalancing the vehicle locations against customer requests is a key challenge in the ser…

cs.AI2017★ 57 cited

Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic

Tomoki Nishi, Prashant Doshi, Danil Prokhorov

Freeway merging in congested traffic is a significant challenge toward fully automated driving. Merging vehicles need to decide not only how to merge into a spot, but also where to…

cs.AI2017★ 5 cited

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics

Tomoki Nishi, Prashant Doshi, Michael R. James +1

In many robotic applications, some aspects of the system dynamics can be modeled accurately while others are difficult to obtain or model. We present a novel reinforcement learning…