High-Level Strategy Selection under Partial Observability in StarCraft: Brood War

21 Nov 2018Jonas GehringDa JuVegard MellaDaniel GantNicolas UsunierGabriel Synnaeve

We consider the problem of high-level strategy selection in the adversarial setting of real-time strategy games from a reinforcement learning perspective, where taking an action corresponds to switching to the respective strategy. Here, a good strategy successfully counters the opponent's current and possible future strategies which can only be estimated using partial observations... (read more)

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