This application relates to intelligent driving technologies, and provides an intelligent driving decision-making method, including: first, obtaining a game object of an ego vehicle; then from a plurality of strategy spaces of the ego vehicle and the game object, performing a plurality of times of release of the plurality of strategy spaces; and determining a strategy feasible region of the ego vehicle and the game object based on each released strategy space, and determining a traveling decision-making result of the ego vehicle based on the strategy feasible region. The decision-making result is an executable behavior action of the ego vehicle. As described above, by releasing the strategy spaces for a plurality of times, while decision-making precision is ensured, the decision-making result may be obtained when as fewer strategy spaces are released as possible. This reduces a computing amount and lowers a requirement for hardware computing power.