Search Results for author: Tomoki Nishi

Found 3 papers, 0 papers with code

Discrete-Choice Model with Generalized Additive Utility Network

no code implementations29 Sep 2023 Tomoki Nishi, Yusuke Hara

Discrete-choice models are a powerful framework for analyzing decision-making behavior to provide valuable insights for policymakers and businesses.

Additive models Decision Making +1

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

no code implementations4 Jun 2017 Tomoki Nishi, Prashant Doshi, Michael R. James, Danil Prokhorov

In many robotic applications, some aspects of the system dynamics can be modeled accurately while others are difficult to obtain or model.

Reinforcement Learning (RL)

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