Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Simon Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (NeurIPS, 2023)

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials. - Aviral Kumar; Anikait Singh; Frederik D. Ebert; Mitsuhiko Nakamoto; Yanlai Yang; Chelsea Finn; Sergey Levine (Robotics: Science and Systems, 2023)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. - Mitsuhiko Nakamoto; Yuexiang Zhai; Anikait Singh; Max Sobol Mark; Yi Ma 001; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 2023)

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 2023)

Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance. - Mitsuhiko Nakamoto; Oier Mees; Aviral Kumar; Sergey Levine (CoRL, 2024)

Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Rich Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (ICLR, 2024)

Steering Your Diffusion Policy with Latent Space Reinforcement Learning. - Andrew Wagenmaker; Mitsuhiko Nakamoto; Yunchu Zhang; Seohong Park; Waleed Yagoub; Anusha Nagabandi; Abhishek Gupta 004; Sergey Levine (CoRR, 2025)