Publications
- 2025
State Modelling for Policy Enhancement through Adversarial Exploration in Cooperative Multi-Agent Reinforcement Learning
A. Kontogiannis*, K. Papathanasiou*, Y. Shen, G. Stamou, M. Zavlanos and G. Vouros.
Submitted for publication.
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
G. Papadopoulos*, A. Kontogiannis*, F. Papadopoulou, C. Poulianou, I. Koumentis and G. Vouros.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025)
- 2024
The Computational Complexity of Finding Second-Order Stationary Points
A. Kontogiannis*, V. Pollatos*, S. Kanellopoulos, P. Mertikopoulos, A. Pagourtzis and I. Panageas.
International Conference on Machine Learning (ICML 2024) [paper]
Tree-based Focused Web Crawling with Reinforcement Learning
A. Kontogiannis*, D. Kelesis, V. Pollatos, G. Giannakopoulos and G. Paliouras.
Submitted for publication (2024) [paper]
- 2023
Inherently Interpretable Deep Reinforcement Learning through Mimicking
A. Kontogiannis* and G. Vouros.
EXTRAAMAS 2023 (AAMAS Workshop) [paper]
- 2021
A Personalized Machine-Learning-Enabled Method for Efficient Research in Ethnopharmacology. The Case of the Southern Balkans and the Coastal Zone of Asia Minor.
E. Axiotis*, A. Kontogiannis, E. Kalpoutzakis and G. Giannakopoulos.
Applied Sciences [paper]