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Optimal bailout strategies resulting from the drift controlled supercooled Stefan problem

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Sensitivity and Robustness of Stackelberg Mean-Field Games through an Optimization Lense

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Exploration-exploitation trade-off for continuous-time episodic reinforcement learning

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Market making algorithms: the next success of Reinforcement Learning?

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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games

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Controlling the propagation of epidemics via mean-field control

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Mean Field Optimization regularized by Fisher Information

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DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK

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