Cover Image

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Yixuan, Khairy, Sami, Vilim, Richard B., Hu, Rui, Dave, Akshay J.
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics-informed State-space Neural Networks for Transport Phenomena
by: Dave, Akshay J., et al.
Published: (2023)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
by: Dave, Akshay J., et al.
Published: (2024)

Online Learning for Supervisory Switching Control
by: Sun, Haoyuan, et al.
Published: (2026)

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
by: Cheng, Xiaoyuan, et al.
Published: (2026)

Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025)

Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
by: Yan, Runze, et al.
Published: (2025)

Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR Guidance
by: Thorat, Rohan Vitthal, et al.
Published: (2025)

Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)

Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)

Safe and Robust Reinforcement Learning: Principles and Practice
by: Yamagata, Taku, et al.
Published: (2024)

LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy
by: Yang, Hsin-Jung, et al.
Published: (2026)

CommonPower: A Framework for Safe Data-Driven Smart Grid Control
by: Eichelbeck, Michael, et al.
Published: (2024)

Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)

Kernel-Based Safe Exploration in Deep Reinforcement Learning
by: Majumdar, Rupak, et al.
Published: (2026)

Safe Reinforcement Learning with Minimal Supervision
by: Quessy, Alexander, et al.
Published: (2025)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
by: Castañeda, Fernando, et al.
Published: (2022)

Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
by: Dogoulis, Pantelis, et al.
Published: (2026)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
by: Hirt, Sebastian, et al.
Published: (2024)

Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea
by: Krasowski, Hanna, et al.
Published: (2024)

Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium
by: Li, Zeyang, et al.
Published: (2024)

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
by: Wang, Zhuoyuan, et al.
Published: (2024)

Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design
by: Ampleman, Stephen, et al.
Published: (2025)

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines
by: Schiffer, Benjamin, et al.
Published: (2024)

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrt{T}$-Regret
by: Schiffer, Benjamin, et al.
Published: (2025)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
by: Zhou, Zhehua, et al.
Published: (2024)

Offline Reinforcement-Learning-Based Power Control for Application-Agnostic Energy Efficiency
by: Raj, Akhilesh, et al.
Published: (2026)

Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets
by: Li, Meiyi, et al.
Published: (2023)

Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)

Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
by: Taheri, Hamid, et al.
Published: (2024)

Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
by: Lindemann, Lars, et al.
Published: (2021)

Approximate Model-Based Shielding for Safe Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2023)

A Reinforcement Learning Approach for Optimal Control in Microgrids
by: Salaorni, Davide, et al.
Published: (2025)

Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
by: Peter, Benjamin M., et al.
Published: (2025)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)

C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile Agents
by: Daubt, Guihlerme, et al.
Published: (2026)