No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
The long-run behavior of multi-agent online learning -- and, in particular, no-regret learning -- is relatively well-understood in potential games, where players have common interests. By contrast, in general harmonic games -- the strategic complement of potential games, where players have competing…