Review for NeurIPS paper: Towards Playing Full MOBA Games with Deep Reinforcement Learning

This paper demonstrates an application of RL and search to a challenging MOBA game-playing task, leading to AI agents able to defeat top professional human players. Three out of four reviewers consider that although this is an application-oriented paper with a strong engineering focus, it is still relevant enough for publication at NeurIPS. Only R2 is advocating for rejection, based essentially on the lack of scientific novelty. I believe that such impressive large scale applications of RL are well worth pushing forward and I am thus recommending acceptance. The general algorithms being used may not be novel, but their instantiation to solve this specific task largely is.