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Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Motivated by this we study the Q-Learning dynamics, a popular model of exploration and exploitation in multi-agent learning, in competitive network games.
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
The behaviour of multi-agent learning in many player games has been shown to display complex dynamics outside of restrictive examples such as network zero-sum games.
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