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Game-theoretic guidance allows autonomous racers to effectively block opponents without the heavy computational load of traditional dynamic game solvers.
By learning where to sample, autonomous vehicles can achieve up to 84% faster motion planning in complex urban environments without sacrificing safety or success rates.
