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Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems
While there exist separate formalisms, specifically Markov Decision Processes and (Colored) Petri Nets, to model, execute, and solve different aspects of the problem, there is no integrated modeling technique.
Policies for the Dynamic Traveling Maintainer Problem with Alerts
On the other hand, because the available resources to serve a network of geographically dispersed assets are typically limited.
Deep Controlled Learning for Inventory Control
Problem Definition: Are traditional deep reinforcement learning (DRL) algorithms, developed for a broad range of purposes including game-play and robotics, the most suitable machine learning algorithms for applications in inventory control?
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