
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
Dec 21, 2020
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IEEE Robotics and Automation Letters
We explored how MBRL can learn multi-step, nonlinear controllers!
Full PageModeling learning is the process of taking logged data and utilizing it to create a tool for predicting into the future. My work here started in the area of model-based reinforcement learning, but it is broad enough now that it warrants its own category. Model learning from batch data is also of great interest. If we can learn a useful model, we can leverage all the data we have logged to its fullest extent.