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Tsallis Entropy Regularization for Linear Quadratic Regulator and Kullback-Leibler Control
Shannon entropy regularization is widely adopted in optimal control due to its ability to promote exploration and enhance robustness, e.g., maximum entropy reinforcement learning known as Soft Actor-Critic. The aim of this paper is to show that formulations based on Tsallis entropy, which is a one-p
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