Key question: can multi-agent optimization problems help reinforcement learning stuff using deep RL for combinatorial optimiazation fast inference scals well with instance size maybe difficult to actually discover optimal solution: high sample complexity, or failing to find good solutions doesn’t generalize well why multi-agent works decentralized training to improve sample efficiency adversarial training New Concepts Social Learning Multi-Agent RL Human-AI Coordination Important Results / Claims When is AI Bad? Solution for Satelite Assignment Problem