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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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Newsletter for March 2022

Ekimetrics is pleased to release its third Newsletter for the year 2022! A new feature has now been added which is a special section detailing some news that we would like to share but are not specifically linked to one of our main categories. As usual, do not hesitate to check the links added and of course using it live during your projects!

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