RL + Model-based Control Paper Accepted to IEEE RA-L
We present our latest work, “RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion”. The paper is published to the IEEE Robotics and Automation Letters (RA-L) journal. To learn more about the paper, please visit the project website.
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