Wataru Hashimoto

According to our database, Wataru Hashimoto authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Consensus-based primal-dual method with event-triggered communication.

Wataru Hashimoto, Naoki Hayashi, Naoyuki Hara, Natsuki Kawaguchi, Takao Sato, Shigemasa Takai

Int. J. Control, March, 2026

2025

MM-LMPC: Multi-Modal Learning Model Predictive Control via Bandit-Based Mode Selection.

Wataru Hashimoto, Kazumune Hashimoto

CoRR, October, 2025

Reference-Free Iterative Learning Model Predictive Control with Neural Certificates.

Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida, Shigemasa Takai

CoRR, July, 2025

Clustering-based Recurrent Neural Network Controller synthesis under Signal Temporal Logic Specifications.

Kazunobu Serizawa, Kazumune Hashimoto, Wataru Hashimoto, Masako Kishida, Shigemasa Takai

CoRR, April, 2025

2024

Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach.

Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai

Adv. Robotics, November, 2024

A lifting approach to learning-based self-triggered control with Gaussian processes.

Zhijun Wang, Kazumune Hashimoto, Wataru Hashimoto, Shigemasa Takai

Adv. Robotics, March, 2024

Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function.

Xun Shen, Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai

Proceedings of the American Control Conference, 2024

Long-Term Safe Reinforcement Learning with Binary Feedback.

Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors.

Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai

CoRR, 2023

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms.

Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

STL2vec: Signal Temporal Logic Embeddings for Control Synthesis With Recurrent Neural Networks.

Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai

IEEE Robotics Autom. Lett., 2022

Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks.

Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida, Shigemasa Takai

CoRR, 2022

Learning-Based Iterative Optimal Control for Unknown Systems Using Gaussian Process Regression.

Wataru Hashimoto, Kazumune Hashimoto, Yuga Onoue, Shigemasa Takai

Proceedings of the European Control Conference, 2022