Microsoft Technology Licensing, LLC

Mei-Hsuan Lu

Jian Li

Ming-Chieh Lee

Yan Lu

Jiahao Li

Andrey Mikhaylovic Mezentsev

Tom W Holcomb

Implementations of the subject matter described herein provide a solution for rate control based on reinforcement learning. In this solution, an encoding state of a video encoder is determined, the encoding state being associated with encoding of a first video unit by the video encoder. An encoding parameter associated with rate control in the video encoder is determined by a reinforcement learning model and based on the encoding state of the video encoder. A second video unit different from the first video unit is encoded based on the encoding parameter. In this way, it is possible to achieve a better quality of experience (QOE) for real time communication with computation overhead being reduced.

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Taipei, Taiwan

Mei-Hsuan Lu