Neural Combinatorial Optimization with Reinforcement Learning

29 Nov 2016Irwan BelloHieu PhamQuoc V. LeMohammad NorouziSamy Bengio

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 network that, given a set of city coordinates, predicts a distribution over different city permutations... (read more)

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