Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Runze, Zhuo, Ziqi, Chen, Junghui, Xie, Lei, Su, Hongye |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024)
by: Lin, Runze, et al.
Published: (2024)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
by: Li, Zhouchang, et al.
Published: (2025)
by: Li, Zhouchang, et al.
Published: (2025)
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
by: Wu, Guoqiang, et al.
Published: (2024)
by: Wu, Guoqiang, et al.
Published: (2024)
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
by: Airaldi, Filippo, et al.
Published: (2023)
by: Airaldi, Filippo, et al.
Published: (2023)
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2025)
Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
by: Chen, Xiaodi, et al.
Published: (2024)
by: Chen, Xiaodi, et al.
Published: (2024)
Task and Domain Adaptive Reinforcement Learning for Robot Control
by: Liu, Yu Tang, et al.
Published: (2024)
by: Liu, Yu Tang, et al.
Published: (2024)
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
by: Sabouni, Ehsan, et al.
Published: (2024)
by: Sabouni, Ehsan, et al.
Published: (2024)
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
by: Xu, Jinming, et al.
Published: (2023)
by: Xu, Jinming, et al.
Published: (2023)
Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning
by: Yamane, Koki, et al.
Published: (2026)
by: Yamane, Koki, et al.
Published: (2026)
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
by: Jüni, Colin, et al.
Published: (2026)
by: Jüni, Colin, et al.
Published: (2026)
A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach
by: Peng, Xianyue, et al.
Published: (2025)
by: Peng, Xianyue, et al.
Published: (2025)
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
by: Li, Zhongyu, et al.
Published: (2024)
by: Li, Zhongyu, et al.
Published: (2024)
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)
by: Bertsekas, Dimitri P.
Published: (2024)
Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
by: Studt, Max, et al.
Published: (2025)
by: Studt, Max, et al.
Published: (2025)
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
by: Reiter, Rudolf, et al.
Published: (2024)
by: Reiter, Rudolf, et al.
Published: (2024)
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
by: Gao, Guanyu, et al.
Published: (2019)
by: Gao, Guanyu, et al.
Published: (2019)
Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
by: Xie, Kedi, et al.
Published: (2025)
by: Xie, Kedi, et al.
Published: (2025)
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
by: Jafari, Mohammad, et al.
Published: (2019)
by: Jafari, Mohammad, et al.
Published: (2019)
Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
by: Fivel, Oren, et al.
Published: (2025)
by: Fivel, Oren, et al.
Published: (2025)
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
by: Bloor, Maximilian, et al.
Published: (2025)
by: Bloor, Maximilian, et al.
Published: (2025)
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
by: Tayal, Manan, et al.
Published: (2025)
by: Tayal, Manan, et al.
Published: (2025)
Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State Delay
by: Hu, Jiaqi, et al.
Published: (2025)
by: Hu, Jiaqi, et al.
Published: (2025)
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
by: Francis, Lawrence, et al.
Published: (2024)
by: Francis, Lawrence, et al.
Published: (2024)
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024)
by: Wang, Shuyi, et al.
Published: (2024)
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
by: Liu, Qiong, et al.
Published: (2024)
by: Liu, Qiong, et al.
Published: (2024)
Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)
by: Song, Xiaofei, et al.
Published: (2026)
Facilitating Emergency Vehicle Passage in Congested Urban Areas Using Multi-agent Deep Reinforcement Learning
by: Su, Haoran
Published: (2025)
by: Su, Haoran
Published: (2025)
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
by: Reiter, Rudolf, et al.
Published: (2025)
by: Reiter, Rudolf, et al.
Published: (2025)
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
by: Lichtlé, Nathan, et al.
Published: (2024)
by: Lichtlé, Nathan, et al.
Published: (2024)
A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
by: Lim, Jasmin Y., et al.
Published: (2025)
by: Lim, Jasmin Y., et al.
Published: (2025)
Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification
by: Coppola, Rudi, et al.
Published: (2025)
by: Coppola, Rudi, et al.
Published: (2025)
Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control
by: Wang, Yanran, et al.
Published: (2023)
by: Wang, Yanran, et al.
Published: (2023)
Similar Items
-
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024) -
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025) -
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
by: Li, Zhouchang, et al.
Published: (2025) -
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC
by: Wu, Guoqiang, et al.
Published: (2024) -
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
by: Airaldi, Filippo, et al.
Published: (2023)