Mar 5, 2023 · Artificial Intelligence

Data‑Driven Decision Optimization: Challenges and Advances in Offline Reinforcement Learning

This article reviews the practical challenges of applying data‑driven decision optimization in real‑world systems, explains the fundamentals of offline reinforcement learning, discusses recent algorithmic innovations such as policy‑constraint methods and the DOGE framework, and presents industrial case studies including power‑plant control and mixed offline‑online RL approaches.

Industrial AIdata-driven decisionoffline reinforcement learning

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Data‑Driven Decision Optimization: Challenges and Advances in Offline Reinforcement Learning