1705.10843に関するkaz_uki_1014のブックマーク (1)

  • Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

    In unsupervised data generation tasks, besides the generation of a sample based on previous observations, one would often like to give hints to the model in order to bias the generation towards desirable metrics. We propose a method that combines Generative Adversarial Networks (GANs) and reinforcement learning (RL) in order to accomplish exactly that. While RL biases the data generation process t

    kaz_uki_1014
    kaz_uki_1014 2017/06/02
    Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models Title:Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation ModelsAbstract: In unsupervised data generation tasks, besides the generation of a samplebased on previous...
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