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