Andreas Kontogiannis

According to our database, Andreas Kontogiannis authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback.

Anas Barakat, Andreas Kontogiannis, Vasilis Pollatos, Ioannis Panageas, Antonios Varvitsiotis

CoRR, May, 2026

The Computational Complexity of Avoiding Strict Saddle Points in Constrained Optimization.

Andreas Kontogiannis, Ioannis Panageas, Vasilis Pollatos

CoRR, April, 2026

Efficient Swap Regret Minimization in Combinatorial Bandits.

Andreas Kontogiannis, Vasilis Pollatos, Panayotis Mertikopoulos, Ioannis Panageas

CoRR, February, 2026

2025

Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games.

Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina, Panayotis Mertikopoulos, Ioannis Panageas

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks.

George Papadopoulos, Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George A. Vouros

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration.

Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen, Giorgos Stamou, Michael M. Zavlanos, George A. Vouros

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The Computational Complexity of Finding Second-Order Stationary Points.

Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

XDQN: Inherently Interpretable DQN through Mimicking.

Andreas Kontogiannis, George A. Vouros

CoRR, 2023

Inherently Interpretable Deep Reinforcement Learning Through Online Mimicking.

Andreas Kontogiannis, George A. Vouros

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

2021

Tree-based Focused Web Crawling with Reinforcement Learning.

Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos, Georgios Paliouras, George Giannakopoulos

CoRR, 2021