Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning

A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system

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Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach

(2020) Dorothea Schwung et al.   IEEE Transactions on Cybernetics

Reinforcement Learning – Overview of Recent Progress and Implications for Process Control

(2019) Joohyun Shin et al.   COMPUTERS & CHEMICAL ENGINEERING

Towards Self‐Driving Processes: A Deep Reinforcement Learning Approach to Control

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Reinforcement learning for batch bioprocess optimization

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Data-Driven Economic NMPC Using Reinforcement Learning

(2019) Sebastien Gros et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

A survey of the advancing use and development of machine learning in smart manufacturing

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Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Reinforcement Learning-Based and Parametric Production-Maintenance Control Policies for a Deteriorating Manufacturing System

(2018) A. S. Xanthopoulos et al.   IEEE Access

Multiagent cooperation and competition with deep reinforcement learning

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Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges

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Human-level control through deep reinforcement learning

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An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis

(2014) Stefanos Doltsinis et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Reinforcement learning for microgrid energy management

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Metaheuristic Scheduling for Cloud: A Survey

(2013) Chun-Wei Tsai et al.   IEEE Systems Journal

Natural actor–critic algorithms

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A Real-Time Service-Oriented Architecture for Industrial Automation

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A Comprehensive Survey of Multiagent Reinforcement Learning

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