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title: "Social Reinforcement Learning"
source: https://www.jemoka.com/posts/kbhlearning/
---

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&rsquo;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
