Neural Combinatorial Optimization with Reinforcement Learning

    Irwan Bello
    Irwan Bello
    Hieu Pham
    Hieu Pham

    ICLR, Volume abs/1611.09940, 2017.

    Cited by: 52|Bibtex|Views43|Links
    EI

    Abstract:

    This paper presents a framework to tackle combinatorial optimization problems using neural networks and reinforcement learning. We focus on the traveling salesman problem (TSP) and train a recurrent neural network that, given a set of city coordinates, predicts a distribution over different city permutations. Using negative tour length as...More

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