Research on low-latency streaming media transmission method based on WebRTC Aiming at the delay problem in real-time audio and video communication,the video rate control is optimized by integrating Deep Reinforcement Learning(DRL)and compared with the standard Google Congestion Control algorithm(GCC).The performance of the model is evaluated in simple,medium and dif-ficult network conditions.The results show that DRL model is superior to GCC in packet loss rate and round-trip delay,especially in diffi-cult mode,which provides an effective solution for low-delay streaming media transmission.
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