Reviews: Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes

This paper targets on two text games and propose a new reinforcement learning framework Q-LDA to discover latent patterns in sequential decision process. The proposed model uses LDA to convert action space into a continuous representation and subsequently use Q-learning algorithm to iteratively make decision in a sequential manner. Authors apply the proposed model to two different text games, and achieve better performance than previous proposed baseline models. The paper is a little bit hard to follow with some missing or inconsistent information. The paper is not self-contained, for a reader that is not familiar with the problem domain, one may need to refer to the Appendix or prior works almost all the time.