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Deep RL and Optimization applied to Operations Research problem - 2/2 Reinforcement Learning approach

This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on an approach based on two famous reinforcement learning algorithms: Q-Learning and Policy Gradient.

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Deep RL and Optimization applied to Operations Research problem - 1/2 Traditional Optimization techniques

This article is part of a series of articles which will introduce several optimization techniques, from traditional (yet advanced) Mathematical Optimization solvers and associated packages to Deep Reinforcement Learning algorithms, while tackling a very famous Operations Research problem: the multi-knapsack problem. Here, the focus is on traditional optimization techniques.

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