Reviews: Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

This paper focuses on real-time strategy games, and presents a model to make predictions over the parts of the game state that are not observable, as well as predicting the evolution of the game state over time. The proposed model is based on a encoder/decoder architecture that integrates convolutional networks with recurrent neural networks. This is an interesting paper with promising results. The most interesting part for me is that the proposed model seems to me a "starting point", and this opens up a very interesting avenue of research for the future. For example, the current module provides a prediction, but could it be used to provide a distribution over the possible game states, from where we can sample?