Author

Kazumune Hashimoto

3 papers indexed here

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Preprint Sep 2026

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

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. Although effective, this reuse of past trajectories can make LMPC sensitive to the initial data. In particular, LMPC may repeatedly exploit st...

Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida · 0 citations

Conference Aug 2026

Meta-Learning Control Barrier Functions under Input Constraints

This paper studies learning-based synthesis of control barrier functions (CBFs) with an explicit treatment of hard input constraints. Training a task-specific CBF from scratch for each new environment can be computationally expensive and data-inefficient. To address this, we propose a meta-learning approach based on Mo...

Wataru Hashimoto, Masato Sakamoto, Kazumune Hashimoto et al. · Conference on Control Techno... · 0 citations

Open access 2026

Data-Driven Synthesis of Probabilistic Controlled Invariant Sets for Linear Markov Decision Processes

We study data-driven computation of <italic>probabilistic controlled invariant sets</italic> (PCIS) for safety-critical reinforcement learning under unknown dynamics. Assuming a linear MDP model, we use regularized least squares and self-normalized confidence bounds to construct a conservative estimate of the states fr...

Kazumune Hashimoto, Shun Kimura, Junya Ikemoto et al. · IEEE Open Journal of Control... · 0 citations