A fast strategy-solving method for adversarial team games utilizing warm starting

Botao Liu, Chen Qiu, Weixin Huang, Jiajia Zhang, Xuan Wang

Abstract: Highlights•We proposed a game tree transformation algorithm with seed strategies for solving equilibrium in adversarial team games.•Seed strategies are rapidly generated through reinforcement learning and their use in warm starting accelerates equilibrium computation in counterfactual regret minimization.