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Eyke Hüllermeier

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification

    2020 · Lecture notes in computer science

    In multi-label classification (MLC), each instance is associated with a set of class labels, in contrast to standard classification, where an instance is assigned a single label. Binary relevance (BR) learning, which reduces a multi-label …

  2. Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis

    2021 · IEEE Transactions on Artificial Intelligence

    Deep Q-learning is an important reinforcement learning algorithm, which involves training a deep neural network, called deep Q-network, to approximate the well-known Q-function. Although wildly successful under laboratory conditions, serious gaps between theory and practice …