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20212026
most citedSafe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms

4 citations · 6 across the 9 of their papers we have counts for

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2 papers · 1 filter

eess.SY2026

MM-LMPC: Multi-Modal Learning Model Predictive Control via Mode-Specific Terminal Design and Bandit-Based Exploration

Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida

Learning Model Predictive Control (LMPC) improves iterative control tasks by using previous executions to construct the terminal constraint and terminal cost of the MPC problem. Al…

eess.SY2026

Forecast-Ensemble-Based Active Binary-Threshold Query Design for Interval Data Assimilation

Wataru Hashimoto, Kazumune Hashimoto, Haru Kuroki

Data assimilation estimates the evolving state of a dynamical system by combining model forecasts with observations. While many conventional methods assume point-valued measurement…