Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation
IEEE Access, pp. 226515-226523, 2020.
Applying generative adversarial networks (GANs) to text-related tasks is challenging due to the discrete nature of language. One line of research resolves this issue by employing reinforcement learning (RL) and optimizing the next-word sampling policy directly in a discrete action space. Such methods compute the rewards from complete se...More
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