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A modular framework for stabilizing deep reinforcement learning control., , , , and . CoRR, (2023)Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior., , , , and . CoRR, (2023)A Meta-Reinforcement Learning Approach to Process Control., , , , , and . CoRR, (2021)Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system., , , , and . CoRR, (2023)Meta Reinforcement Learning for Adaptive Control: An Offline Approach., , , , , and . CoRR, (2022)Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem., , , , , and . CoRR, (2020)Machine learning for industrial sensing and control: A survey and practical perspective., , , , , , , , , and . CoRR, (2024)Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey., , , , , , , , and . CoRR, (2022)Reinforcement Learning based Design of Linear Fixed Structure Controllers., , , , , and . CoRR, (2020)Meta-Reinforcement Learning for Adaptive Control of Second Order Systems., , , , , and . CoRR, (2022)