Tsallis entropy regularization differs from traditional Shannon entropy regularization in optimal control by offering a one-parameter extension that allows for a more flexible adjustment of the balance between exploration and exploitation. While Shannon entropy encourages exploration through stochastic policies, Tsallis entropy introduces a deformation parameter q that enables a broader range of behaviors. In contrast to Shannon entropy, which converges to Tsallis entropy as q approaches 1, Tsallis entropy can exhibit different characteristics based on the value of q chosen.