Cover Image

Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Esfahani, Hossein Nejatbakhsh, Velni, Javad Mohammadpour
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)

Safe Robust Predictive Control-based Motion Planning of Automated Surface Vessels in Inland Waterways
by: Ahmadi, Sajad, et al.
Published: (2025)

Impulse-to-Peak-Output Norm Optimal State-Feedback Control of Linear PDEs
by: Thomas, Tristan, et al.
Published: (2026)

Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
by: Bao, Yajie, et al.
Published: (2024)

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees
by: Bao, Yajie, et al.
Published: (2022)

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
by: Cheon, Mujin, et al.
Published: (2024)

Control and Reinforcement Learning through the Lens of Optimization: An Algorithmic Perspective
by: Ok, Tolga, et al.
Published: (2025)

Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
by: Studt, Max, et al.
Published: (2025)

ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization
by: Krishnamoorthy, Dinesh
Published: (2024)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
by: Zuliani, Riccardo, et al.
Published: (2023)

Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
by: Zhou, Chenchen, et al.
Published: (2026)

An Adaptive Coverage Control Approach for Multiple Autonomous Off-road Vehicles in Dynamic Agricultural Fields
by: Ahmadi, Sajad, et al.
Published: (2025)

Learning-based Homothetic Tube MPC
by: Gao, Yulong, et al.
Published: (2025)

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization
by: Rannetbauer, Wolfgang, et al.
Published: (2025)

Preferential Multi-Objective Bayesian Optimization
by: Astudillo, Raul, et al.
Published: (2024)

Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
by: Studt, Max, et al.
Published: (2026)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)

Neural Parameter-varying Data-enabled Predictive Control of Cold Atmospheric Pressure Plasma Jets
by: GhafGhanbari, Pegah, et al.
Published: (2025)

From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion
by: Zeng, Yicheng, et al.
Published: (2026)

Inverse Optimization via Learning Feasible Regions
by: Ren, Ke, et al.
Published: (2025)

Single and Multi-Objective Performance Optimization of an Algal-Bacterial Synthetic Process
by: Asswad, Rand, et al.
Published: (2025)

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
by: Dabiri, Azita, et al.
Published: (2025)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)

Safe Feedback Optimization through Control Barrier Functions
by: Delimpaltadakis, Giannis, et al.
Published: (2026)

Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
by: Taghavi, Mazyar, et al.
Published: (2025)

Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
by: McAllister, Robert D., et al.
Published: (2023)

Multi-Objective Control Co-design Using Graph-Based Optimization for Offshore Wind Farm Grid Integration
by: Sharma, Himanshu, et al.
Published: (2024)

Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
by: Allamaa, Jean Pierre, et al.
Published: (2024)

Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
by: Buckingham, Jack M., et al.
Published: (2023)

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints
by: Morales, Roberto, et al.
Published: (2025)

Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions
by: de Frutos, Martín, et al.
Published: (2024)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)

A Teacher-Student MPC-PPO Coupled Reinforcement Learning Framework for Winter Temperature Control of Solar Greenhouses in Northern China
by: Yu, Jingxin, et al.
Published: (2025)

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
by: Tonini, Stefano, et al.
Published: (2026)

On Building Myopic MPC Policies using Supervised Learning
by: Orrico, Christopher A., et al.
Published: (2024)

Reinforcement Learning for Discounted and Ergodic Control of Diffusion Processes
by: Bayraktar, Erhan, et al.
Published: (2026)

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
by: Narayanan, Sriram S. K. S., et al.
Published: (2025)