3 papers
cs.RO2026
Adaptive Linear Path Model-Based Diffusion
Yutaka Shimizu, Masayoshi Tomizuka
The interest in combining model-based control approaches with diffusion models has been growing. Although we have seen many impressive robotic control results in difficult tasks, t…
cs.LG2024
Bisimulation metric for Model Predictive Control
Yutaka Shimizu, Masayoshi Tomizuka
Model-based reinforcement learning has shown promise for improving sample efficiency and decision-making in complex environments. However, existing methods face challenges in train…
cs.LG2024
Strategically Conservative Q-Learning
Yutaka Shimizu, Joey Hong, Sergey Levine +1
Offline reinforcement learning (RL) is a compelling paradigm to extend RL's practical utility by leveraging pre-collected, static datasets, thereby avoiding the limitations associa…