Supervised and reinforcement learning are used to find initial adjoint variables for real-time solution of Hamilton-Jacobi-Bellman equations in two-point boundary value problems.
Approximate solutions to the time-invariant hamilton–jacobi–bellman equation,
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Learning-based Hamilton-Jacobi-Bellman Methods for Optimal Control
Supervised and reinforcement learning are used to find initial adjoint variables for real-time solution of Hamilton-Jacobi-Bellman equations in two-point boundary value problems.