NeuralSolver: LearningAlgorithmsForConsistent andEfficientExtrapolationAcrossGeneralTasks

We contributeNeuralSolver, a novel recurrent solver that can efficiently and consistently extrapolate, i.e., learn algorithms from smaller problems (in terms of observation size) and execute those algorithms in large problems.