This work presents GenDP, a programmable dynamic programming acceleration framework that supports general-purpose acceleration for genomics kernels in commonly used sequencing pipelines.

The purpose of this note is to extend the Approximate Dynamic Programming (ADP) method to the infinite time stochastic optimal control (ergodic) problem. It is also shown that a modification of the ...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

Given an array containing n integers. The problem is to find the sum of the elements of the contiguous subarray having the smallest (minimum) sum.

Discover the connection between maximum principle and dynamic programming in stochastic games. Explore the relationships between adjoint processes, Hamiltonian function, and value function. Explore ...

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