Stavros Orfanoudakis

Orcid: 0000-0002-0767-9488

According to our database1, Stavros Orfanoudakis authored at least 22 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Community-to-Vehicle: Integrating Electric Vehicles into Energy Communities - A Swiss Case Study.
CoRR, May, 2026

SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control.
CoRR, May, 2026

Learning to Route Electric Trucks Under Operational Uncertainty.
CoRR, April, 2026

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks.
CoRR, March, 2026

Flow Matching Policy with Entropy Regularization.
CoRR, March, 2026

2025
Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints.
CoRR, October, 2025

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking.
IEEE Trans. Intell. Transp. Syst., February, 2025

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks.
CoRR, February, 2025

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments.
CoRR, February, 2025

Can A.I. Revolutionize EV Dispatch?
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Safe Reinforcement Learning for V2G-Enabled Electric Vehicle Aggregators.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024
A comprehensive analysis of agent factorization and learning algorithms in multiagent systems.
Auton. Agents Multi Agent Syst., December, 2024

Adaptive Informed Deep Neural Networks for Power Flow Analysis.
CoRR, 2024

A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control.
CoRR, 2024

Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023
Novel Meta-Learning Techniques for the Multiclass Image Classification Problem.
Sensors, 2023

PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation.
CoRR, 2023

A Novel Multiagent Flexibility Aggregation Framework.
CoRR, 2023

A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
The Performance Impact of Combining Agent Factorization with Different Learning Algorithms for Multiagent Coordination.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Intelligent robotic system for urban waste recycling.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2022

2021
Aiming for Half Gets You to the Top: Winning PowerTAC 2020.
Proceedings of the Multi-Agent Systems - 18th European Conference, 2021


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