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cs.GT2024
On the Stability of Learning in Network Games with Many Players
Aamal Hussain, Dan Leonte, Francesco Belardinelli +1
Multi-agent learning algorithms have been shown to display complex, unstable behaviours in a wide array of games. In fact, previous works indicate that convergent behaviours are le…
cs.GT2023
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Aamal Hussain, Francesco Belardinelli
The behaviour of multi-agent learning in competitive network games is often studied within the context of zero-sum games, in which convergence guarantees may be obtained. However,…