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Enforcing robust control guarantees within neural network policies
Task-based end-to-end model learning in stochastic optimization
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Assessing the effects of commonly-varying assumptions on emissions and damage estimates in PJM
DC3: A Learning Method for Optimization with Hard Constraints
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