On Learning Paradigms for the Travelling Salesman Problem

16 Oct 2019Chaitanya K. JoshiThomas LaurentXavier Bresson

We explore the impact of learning paradigms on training deep neural networks for the Travelling Salesman Problem. We design controlled experiments to train supervised learning (SL) and reinforcement learning (RL) models on fixed graph sizes up to 100 nodes, and evaluate them on variable sized graphs up to 500 nodes... (read more)

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