Integrating Pretrained Language Model for Dialogue Policy Learning

Hongru Wang, Huimin Wang, Zezhong Wang +1

Reinforcement Learning (RL) has been witnessed its potential for training a dialogue policy agent towards maximizing the accumulated rewards given from users. However, the reward c…