ABSTRACT
Reinforcement Learning is an important class of optimization which has recently been used in the area of dynamic
adaptive streaming over HTTP (DASH). Though DASH is very popular method of video delivery in recent years it
is plagued with problems when multiple players share a bottleneck link. Thus, this area has become a very active
area of research. Two works which implement Reinforcement Learning in DASH are selected and their
performances compared against the Conventional DASH player. It is shown that SDP works well for various
network conditions.
Keywords: - Reinforcement Learning; optimization; DASH; video; bottleneck; network.