Model-Free Linear Quadratic Control via Reduction to Expert Prediction

17 Apr 2018Yasin Abbasi-YadkoriNevena LazicCsaba Szepesvari

Model-free approaches for reinforcement learning (RL) and continuous control find policies based only on past states and rewards, without fitting a model of the system dynamics. They are appealing as they are general purpose and easy to implement; however, they also come with fewer theoretical guarantees than model-based RL... (read more)

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