Sim-to-Dec, an autoregressive simulator paired with a dual-loss decision policy, improves simulated timely delivery and profit, but the reported gains are measured inside the paper's own simulator.
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
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Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
Sim-to-Dec, an autoregressive simulator paired with a dual-loss decision policy, improves simulated timely delivery and profit, but the reported gains are measured inside the paper's own simulator.