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Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation.

, , , , , , and . MABS, volume 12025 of Lecture Notes in Computer Science, page 26-38. Springer, (2019)

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Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning., , , , , , and . AAMAS, page 1802-1804. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning., , and . COMAD/CODS, page 272-280. ACM, (2021)Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows., , , , , and . CoRR, (2021)Optimization in the catalyst optimizer of Spark SQL., and . Turkish J. Electr. Eng. Comput. Sci., 26 (5): 2489-2499 (2018)An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres., , , , and . ACC, page 4186-4191. IEEE, (2019)Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems., , , , and . CoRR, (2019)Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation., , , , , , and . MABS, volume 12025 of Lecture Notes in Computer Science, page 26-38. Springer, (2019)Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains., , , , , and . CoRR, (2020)Scalable multi-product inventory control with lead time constraints using reinforcement learning., , , , , , , and . Neural Comput. Appl., 34 (3): 1735-1757 (2022)