An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents

Author:

Monaci MartaORCID,Agasucci ValerioORCID,Grani GiorgioORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference77 articles.

1. Agasucci, V., Grani, G., & Lamorgese, L. (2020). Solving the single-track train scheduling problem via deep reinforcement learning. arXiv preprint arXiv:2009.00433

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4. Dynamic programming;Bellman;Science,1966

5. A learning-based algorithm to quickly compute good primal solutions for stochastic integer programs;Bengio,2020

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