From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
ICML, pp. 7186-7196, 2020.
We precisely characterize how self-organization arises in simple network games
Games are an increasingly useful tool for training and testing learning algorithms. Recent examples include GANs, AlphaZero and the AlphaStar league. However, multi-agent learning can be extremely difficult to predict and control. Learning dynamics even in simple games can yield chaotic behavior. In this paper, we present basic mechanism ...More
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