Modelling pairwise and coalitional contests with reinforcement learning
The paper models pairwise and coalitional contests using reinforcement learning, finding that coalition advantages and border conflict costs promote intervention by neighbours.
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Stockholm UniversityORCID 0000-0001-8621-6977Unclaimed ORCID profile · follow to get notified of new preprints
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The paper models pairwise and coalitional contests using reinforcement learning, finding that coalition advantages and border conflict costs promote intervention by neighbours.
Olof Leimar, Sasha R. X. Dall, Peter Hammerstein…·J MCNAMARA
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