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20232026
most citedDeep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

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math.OC2026

Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning

Jialun Cao, Fernando Acero, David Šiška +1

Entropy regularization is widely used in continuous-time reinforcement learning (RL) to reduce sensitivity to environmental perturbations, yet its robustness benefits lack a rigoro…