A Greedy Divide-and-Conquer Approach to Optimizing Large Manufacturing Systems using Reinforcement Learning

@inproceedings{Wang1998AGD,
  title={A Greedy Divide-and-Conquer Approach to Optimizing Large Manufacturing Systems using Reinforcement Learning},
  author={Gang Wang and Sridhar Mahadevan},
  year={1998}
}
Manufacturing is a challenging real-world domain for studying hierarchical MDP-based optimization algorithms. We have recently obtained very promising results using a hierarchical reinforcement learning based optimization algorithm for a 12-machine transfer line. Transfer lines model factory processes in automobile and many other product assembly plants… CONTINUE READING