Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Paul G. Allen School of Computer Science & Engineering University of Washington Seattle, W A98195 Guanya Shi

Neural Information Processing Systems 

Learning to control unknown nonlinear dynamical systems is a fundamental problem in reinforcement learning and control theory.

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