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Found 2 papers, 1 papers with code
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
In this paper we propose a divide and conquer deep reinforcement learning solution and we test our agent in the first person shooter (FPS) game of Doom.
Inducing Generalized Multi-Label Rules with Learning Classifier Systems
In recent years, multi-label classification has attracted a significant body of research, motivated by real-life applications, such as text classification and medical diagnoses.
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