Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Peter, Benjamin M., Korkali, Mert |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
by: Peter, Benjamin M., et al.
Published: (2025)
by: Peter, Benjamin M., et al.
Published: (2025)
Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
by: Barbara, Nicholas H., et al.
Published: (2024)
by: Barbara, Nicholas H., et al.
Published: (2024)
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
by: Wendl, Manuel, et al.
Published: (2024)
by: Wendl, Manuel, et al.
Published: (2024)
Transmission Line Outage Probability Prediction Under Extreme Events Using Peter-Clark Bayesian Structural Learning
by: Chen, Xiaolin, et al.
Published: (2024)
by: Chen, Xiaolin, et al.
Published: (2024)
Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
by: Jha, Rishi, et al.
Published: (2025)
by: Jha, Rishi, et al.
Published: (2025)
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
by: Dogoulis, Pantelis, et al.
Published: (2026)
by: Dogoulis, Pantelis, et al.
Published: (2026)
On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
by: Sung, Minjun, et al.
Published: (2024)
by: Sung, Minjun, et al.
Published: (2024)
Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)
by: Yang, Yujie, et al.
Published: (2023)
Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions
by: Das, Goutam, et al.
Published: (2026)
by: Das, Goutam, et al.
Published: (2026)
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
by: Remman, Sindre Benjamin, et al.
Published: (2024)
by: Remman, Sindre Benjamin, et al.
Published: (2024)
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)
by: Yifru, Lunet, et al.
Published: (2024)
Safe and Robust Reinforcement Learning: Principles and Practice
by: Yamagata, Taku, et al.
Published: (2024)
by: Yamagata, Taku, et al.
Published: (2024)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Enhancing Reinforcement Learning Agents with Local Guides
by: Daoudi, Paul, et al.
Published: (2024)
by: Daoudi, Paul, et al.
Published: (2024)
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
by: Khattar, Vanshaj, et al.
Published: (2024)
by: Khattar, Vanshaj, et al.
Published: (2024)
Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning
by: Zhang, Runyu, et al.
Published: (2025)
by: Zhang, Runyu, et al.
Published: (2025)
Distributionally Robust Policy and Lyapunov-Certificate Learning
by: Long, Kehan, et al.
Published: (2024)
by: Long, Kehan, et al.
Published: (2024)
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
by: Malmir, Mohammadhossein, et al.
Published: (2023)
by: Malmir, Mohammadhossein, et al.
Published: (2023)
Off Policy Lyapunov Stability in Reinforcement Learning
by: Gill, Sarvan, et al.
Published: (2025)
by: Gill, Sarvan, et al.
Published: (2025)
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)
by: Tesfazgi, Samuel, et al.
Published: (2024)
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
by: Zhang, Ruoqi, et al.
Published: (2024)
by: Zhang, Ruoqi, et al.
Published: (2024)
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
by: Suh, Jihoon, et al.
Published: (2025)
by: Suh, Jihoon, et al.
Published: (2025)
Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
by: Ikemoto, Junya, et al.
Published: (2026)
by: Ikemoto, Junya, et al.
Published: (2026)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)
by: Covone, Stefano, et al.
Published: (2025)
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025)
by: Fatehi, Nina, et al.
Published: (2025)
Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
by: Potteiger, Nicholas, et al.
Published: (2024)
by: Potteiger, Nicholas, et al.
Published: (2024)
Learning Verifiable Control Policies Using Relaxed Verification
by: Chaudhury, Puja, et al.
Published: (2025)
by: Chaudhury, Puja, et al.
Published: (2025)
Parameter Stress Analysis in Reinforcement Learning: Applying Synaptic Filtering to Policy Networks
by: Abdeen, Zain ul, et al.
Published: (2025)
by: Abdeen, Zain ul, et al.
Published: (2025)
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
by: Furieri, Luca, et al.
Published: (2025)
by: Furieri, Luca, et al.
Published: (2025)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines
by: Schiffer, Benjamin, et al.
Published: (2024)
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)
by: Schiffer, Benjamin, et al.
Published: (2025)
Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning
by: Hakke, Yashodhan D., et al.
Published: (2026)
by: Hakke, Yashodhan D., et al.
Published: (2026)
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
by: Kai, Jian, et al.
Published: (2025)
by: Kai, Jian, et al.
Published: (2025)
Similar Items
-
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
by: Peter, Benjamin M., et al.
Published: (2025) -
Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response
by: Masoumi, Amin, et al.
Published: (2025) -
Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
by: Masoumi, Amin, et al.
Published: (2025) -
Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement
by: Masoumi, Amin, et al.
Published: (2025) -
Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
by: Masoumi, Amin, et al.
Published: (2025)