A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

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Jun 20, 2024
Weiqin Chen, Mark S. Squillante, Chai Wah Wu, Santiago Paternain
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We devise a control-theoretic reinforcement learning approach to support direct learning of the optimal policy. We establish theoretical properties of our approach and derive an algorithm based on a specific instance of this approach. Our empirical results demonstrate the significant benefits of our approach.

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