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Abstract: Learning policies in an asynchronous parallel way is essential to numerous successes of reinforcement learning for solving complex problems. However, their convergence has not been ...

Abstract: This paper investigates the linear quadratic control problem with both process and measurement noise using reinforcement learning. Instead of requiring a system model or real-time controller ...

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