... may overlook. Design/methodology/approach The study combines graph neural networks (GNNs) for spatial-temporal player interactions and transformer-based attention for strategic pattern recognition. It integrates opponent modeling via inverse reinforcement learning (IRL) and self-play...

...-based spatial-temporal graph neural networks. A graph convolutional network is used to extract local spatial-temporal correlations, a channel attention mechanism is used to enhance the influence of nearby spatial-temporal dependencies on decision-making and a transformer mechanism is used to capture...