Abstract: A method performed by at least one processing device in an illustrative embodiment comprises applying an input data sample to an encoder of an encoder-decoder network to generate a corresponding latent representation, combining the latent representation from the encoder with noise, applying the combined latent representation and noise to a decoder of the encoder-decoder network to generate an estimated data sample, and outputting the estimated data sample. Respective sets of parameters of the encoder and decoder of the encoder-decoder network are configured based at least in part on an iterative optimization process utilizing a task loss determined from a task function that relates the input data sample to a task output. A given iteration of the iterative optimization process illustratively generates an estimated task output from the estimated data sample, determines a loss measure using the estimated task output, and adjusts one or more parameters using the loss measure.

Abstract: A system and method for training and executing an adaptive bitrate (ABR) controller can include clustering content into content clusters based on content metadata, clustering network scenarios based on network information, normalizing input measurements, training the ABR controller for each content within at least one of a given content cluster and a given network scenario cluster by determining network information and network metadata, associated with the respective content, determining a content bitrate, determining a reward associated with the content bitrate, and training the ABR controller based on the reward.

Abstract: A system and method for training and executing an adaptive bitrate (ABR) controller can include clustering content into content clusters based on content metadata, clustering network scenarios based on network information, normalizing input measurements, training the ABR controller for each content within at least one of a given content cluster and a given network scenario cluster by determining network information and network metadata, associated with the respective content, determining a content bitrate, determining a reward associated with the content bitrate, and training the ABR controller based on the reward.