Aiming for Half Gets You to the Top: Winning PowerTAC 2020. - Stavros Orfanoudakis; Stefanos Kontos; Charilaos Akasiadis; Georgios Chalkiadakis (EUMAS, 2021)

Intelligent robotic system for urban waste recycling. - Konstantia Moirogiorgou; Freiderikos Raptopoulos; George Livanos; Stavros Orfanoudakis; Maria Papadogiorgaki; Michalis E. Zervakis; Michail Maniadakis (IST, 2022)

The Performance Impact of Combining Agent Factorization with Different Learning Algorithms for Multiagent Coordination. - Andreas Kallinteris; Stavros Orfanoudakis; Georgios Chalkiadakis (SETN, 2022)

A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid. - Stavros Orfanoudakis; Georgios Chalkiadakis (AAMAS, 2023)

A Novel Multiagent Flexibility Aggregation Framework. - Stavros Orfanoudakis; Georgios Chalkiadakis (CoRR, 2023)

PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation. - Nan Lin; Stavros Orfanoudakis; Nathan Ordonez Cardenas; Juan S. Giraldo; Pedro P. Vergara (CoRR, 2023)

Novel Meta-Learning Techniques for the Multiclass Image Classification Problem. - Antonios Vogiatzis; Stavros Orfanoudakis; Georgios Chalkiadakis; Konstantia Moirogiorgou; Michalis E. Zervakis (Sensors, 2023)

Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking. - Yunus Emre Yilmaz; Stavros Orfanoudakis; Pedro P. Vergara (ISGT EUROPE, 2024)

A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control. - Cesar Diaz-Londono; Stavros Orfanoudakis; Pedro P. Vergara; Peter Palensky; Fredy Ruiz; Giambattista Gruosso (CoRR, 2024)

Adaptive Informed Deep Neural Networks for Power Flow Analysis. - Zeynab Kaseb; Stavros Orfanoudakis; Pedro P. Vergara; Peter Palensky (CoRR, 2024)

A comprehensive analysis of agent factorization and learning algorithms in multiagent systems. - Andreas Kallinteris; Stavros Orfanoudakis; Georgios Chalkiadakis (Auton. Agents Multi Agent Syst., 2024)

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments. - Stavros Orfanoudakis; Nanda Kishor Panda; Peter Palensky; Pedro P. Vergara (CoRR, 2025)

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks. - Stavros Orfanoudakis; Peter Palensky; Pedro P. Vergara (CoRR, 2025)

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking. - Stavros Orfanoudakis; Cesar Diaz-Londono; Yunus Emre Yilmaz; Peter Palensky; Pedro P. Vergara (IEEE Trans. Intell. Transp. Syst., 2025)