Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

9 Dec 2018Ziming LiJulia KiselevaMaarten de Rijke

The performance of adversarial dialogue generation models relies on the quality of the reward signal produced by the discriminator. The reward signal from a poor discriminator can be very sparse and unstable, which may lead the generator to fall into a local optimum or to produce nonsense replies... (read more)

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