Research on adaptive offloading schemes for multi-video streams is being explored, with a focus on equilibrium game theory. Various approaches are being studied, including the use of machine learning, generative adversarial imitation learning, and deep reinforcement learning to optimize resource allocation and task offloading in complex systems. The goal appears to be improving network resource management and quality of experience in scenarios such as extended reality and edge computing.