Goal-Driven Dynamics Learning via Bayesian Optimization

27 Mar 2017Somil BansalRoberto CalandraTed XiaoSergey LevineClaire J. Tomlin

Real-world robots are becoming increasingly complex and commonly act in poorly understood environments where it is extremely challenging to model or learn their true dynamics. Therefore, it might be desirable to take a task-specific approach, wherein the focus is on explicitly learning the dynamics model which achieves the best control performance for the task at hand, rather than learning the true dynamics... (read more)

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