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Learning to Solve Job Shop Scheduling under Uncertainty
Key contributions of this research include: (1) advancements in DRL applications to JSSPs, enhancing generalization and scalability, (2) a novel method for addressing JSSPs with uncertain durations.
Open Loop Execution of Tree-Search Algorithms, extended version
In the context of tree-search stochastic planning algorithms where a generative model is available, we consider on-line planning algorithms building trees in order to recommend an action.
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