Scientific Papers
Document
Fault Detection for Agents in Power Grid Topology Optimization: A Comprehensive Analysis
Date
11/10/2024
Document
Pioneering roadmap for ML-driven algorithmic advancements in electrical networks
Date
11/10/2024
Document
State and Action Factorization in Power Grids
Date
11/10/2024
Document
Multi-Objective Reinforcement Learning for Power Grid Topology Control
Date
07/02/2025
Document
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
Date
12/02/2025
Document
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
Date
12/02/2025
Document
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
Date
13/02/2025
Document
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
Date
27/03/2025
Document
On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management
Date
14/05/2025
Document
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
Date
14/05/2025
Document
User experience evaluation of an AI-based decision support tool for power grid congestion management
Date
03/09/2025
Document
Human-AI interaction in safety-critical network infrastructures
Date
24/09/2025
Document
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
Date
13/10/2025
Document
Generation of Power Network Operating Scenarios for an AI-friendly Digital Environment
Date
13/10/2025
Document
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
Date
13/10/2025
Document
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
Date
13/10/2025
Document
Applying Job Design Criteria for Effective Human-AI Collaboration
Date
13/10/2025
Document
Learned Representations Enhance Multi Agent Path Planning
Date
13/10/2025
Document
Power Grid Control with Graph-Based Distributed Reinforcement Learning
Date
13/10/2025
Document
Continuous Assessment Driven Requirements Elicitation For Trustworthy AI Systems
Date
13/10/2025