Reviews: Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach

Let me start with a global comment. I enjoyed very much reading this paper. I found it well written (apart from typos, and some English sentences constructions that are a bit heavy) and interesting. It is related to a modern sub-field of reinforcement learning: multi-agent learning, that lacks theory w.r.t. to single-agent RL. The paper introduces a mean-field analysis of a large population of agents playing simple symmetric matrix games against each others, so that, as the population gets large, each player effectively plays against a single "mean" player.