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Equivalence Between Continuous-Time Risk-Sensitive Control and Rényi Divergence Minimization
In this study, we show that a continuous-time risk-sensitive control problem is equivalent to a Rényi divergence minimization problem over trajectory path measures. Reformulating stochastic optimal control as probabilistic inference via Kullback-Leibler (KL) divergence minimization avoids the comput
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