SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming

Adaptive Bit Rate (ABR) assignment plays a crucial role for ensuring satisfactory quality of experience (QoE) in video streaming applications. Recently the authors of [1] proposed to use reinforcement learning (RL) based asynchronous advantage actor-critic ($A3C$), an on-policy method, Pensieve, to improve ABR algorithms. It has shown to achieve a higher QoE as compared to other traditi...