I am going to treat in a lecture the application of deep reinforcement learning for the optimal control of physical processes. Therefore, I am looking for the best references. Besides the classics on reinforcement learning (like Sutton and Barto), I am using for example the book by Bertsekas "Reinforcement Learning and Optimal Control". What other recommended references are there?

Are there any recommended publications that discuss the advantages and disadvantages of deep reinforcement learning and learning-based model predictive control in this field?

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