Online video is one of the leading internet applications. Unlike other applications, the quality of the delivered video and the corresponding demand on the bandwidth of the underlying network can be adjusted based on the current conditions of the network using an Adaptive BitRate (ABR) algorithm. DASH is a standard method to deliver video using short segments served by a content delivery network over HTTP that utilizes ABR. Several ABR algorithms have been proposed and deployed commercially to maximize viewers’ Quality of Experience (QoE). Google has recently proposed a fundamentally different transport protocol that is currently being standardized within IETF as the next generation of HTTP and as such is poised to take the dominant position in the Internet. The impact of this switchover on the performance of ABR algorithms is an open problem. In this research we experimentally evaluate QoE performance of standard ABR algorithms implemented in DASH using leading implementations of HTTP/2 and HTTP/3 and varying network conditions. The ultimate aim of the research is to propose a ABR algorithm that matches the properties of HTTP/3 based transport.