Deep Reinforcement Learning in Inventory Management

This thesis is written at ORTEC in order to develop a deep reinforcement learning method that can solve various inventory problems. With this method, we solved three inventory problems better than its benchmarks. However, when the problems get larger, the method turns out to be unstable in its results.