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Found 4 papers, 1 papers with code
Multi-Label Sampling based on Local Label Imbalance
Experimental results on 13 multi-label datasets demonstrate the effectiveness of the proposed measure and sampling approaches for a variety of evaluation metrics, particularly in the case of an ensemble of classifiers trained on repeated samples of the original data.
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
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 problems in the Air Traffic Management (ATM) domain.
A Bayesian Ensemble Regression Framework on the Angry Birds Game
This has the advantage to establish an informative feature space and modify the task of game playing to a regression analysis problem.
Cover Tree Bayesian Reinforcement Learning
This paper proposes an online tree-based Bayesian approach for reinforcement learning.
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