Adapt When Everybody is Stationary Otherwise Move to Equilibrium (AWESOME) Algorithm

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An Adapt When Everybody is Stationary Otherwise Move to Equilibrium (AWESOME) Algorithm is a Multi-Agent Learning Algorithm that can adapt to play the best response based on stationarity and a mixed equilibrium strategy.



References

2017

2007


  1. This is at least somewhat easonable since they share the same algorithm. If there are only finitely many equilibria, then one way to circumvent this assumption is to let each agent choose a random equilibrium after each restart, so that there is at least some probability that the computed equilibria coincide.