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A Neural Approach to Reinforcement Learning and Control of Scheduling Problems
A Neural Approach to Reinforcement Learning and Control of Scheduling Problems – In this paper, we propose a novel deep neural network-based framework for decision making problems that involve multiple states in the state space. As a result, this framework offers new ways to interact with the state space through a simple feature selection procedure […]