PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching

no code implementations • 29 Sep 2021 • David C Jenkins, René Arendt Sørensen, Vikramank Singh, Philip Kaminsky, Anil Aswani, Ramakrishna Akella

This paper proposes a novel method based on Deep Reinforcement Learning for developing dynamic scheduling policies through interaction with simulated stochastic manufacturing systems.

Decision Making reinforcement-learning +2