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Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
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.
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning
Considering this, there is a pressing need for research to enhance the robustness of network systems.
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost
In this study, we proposed a method for designing a resilient logistics network based on entropy regularization.
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