17 citations · 26 across the 4 of their papers we have counts for
4 papers
Multi-Label Sampling based on Local Label Imbalance
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Class imbalance is an inherent characteristic of multi-label data that hinders most multi-label learning methods. One efficient and flexible strategy to deal with this problem is t…
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
Theocharis Kravaris, Christos Spatharis, Alevizos Bastas +5
In this article, we report on the efficiency and effectiveness of multiagent reinforcement learning methods (MARL) for the computation of flight delays to resolve congestion proble…
A Bayesian Ensemble Regression Framework on the Angry Birds Game
Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
An ensemble inference mechanism is proposed on the Angry Birds domain. It is based on an efficient tree structure for encoding and representing game screenshots, where it exploits…
Cover Tree Bayesian Reinforcement Learning
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
This paper proposes an online tree-based Bayesian approach for reinforcement learning. For inference, we employ a generalised context tree model. This defines a distribution on mul…