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Hierarchical combination of deep reinforcement learning and quadratic programming for distribution system restoration
This paper proposes a model for hierarchical combination of deep reinforcement learning
(DRL) with quadratic programming for distribution system restoration after major outages. In …
(DRL) with quadratic programming for distribution system restoration after major outages. In …
On the feasibility guarantees of deep reinforcement learning solutions for distribution system operation
Deep reinforcement learning (DRL) has scored unprecedented success in finding near-
optimal solutions in high-dimensional stochastic problems, leading to its extensive use in …
optimal solutions in high-dimensional stochastic problems, leading to its extensive use in …
Gpu-accelerated verification of machine learning models for power systems
Computational tools for rigorously verifying the performance of large-scale machine learning
(ML) models have progressed significantly in recent years. The most successful solvers …
(ML) models have progressed significantly in recent years. The most successful solvers …