Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. - Cheng-Yu Kuo; Yunduan Cui; Takamitsu Matsubara (ICRA, 2020)

Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. - Cheng-Yu Kuo; Andreas Schaarschmidt; Yunduan Cui; Tamim Asfour; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2021)

TDE2-MBRL: Energy-exchange Dynamics Learning with Task Decomposition for Spring-loaded Bipedal Robot Locomotion. - Cheng-Yu Kuo; Hirofumi Shin; Takumi Kamioka; Takamitsu Matsubara (Humanoids, 2022)

Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking. - Cheng-Yu Kuo; Hirofumi Shin; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2023)

Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning. - Po-Yen Wu; Cheng-Yu Kuo; Yuki Kadokawa; Takamitsu Matsubara (CoRR, 2025)