… content delivery infrastructure, cellular networks, and Internet architectures. By smartly storing
the most popular contents at the storage-enabled network … both network infrastructure as …

… from surrogate servers is costly from the perspective of network usage, and potentially …
an edge content delivery network with vehicular nodes and propose a content migration …

… content delivery policy, that combines reinforcement learning and deep neural network
approaches… Our proposed policy implements dynamic delivery decisions in the complex network …

… In Section 3, we present the content placement and content delivery strategies,
respectively. Performance results are discussed in Section 4. The conclusion is in Section 5. …

… -Streaming in virtualized content delivery networks using deep reinforcement learning. We
… a Dueling Double Deep Q Network (E2-D4QN). Our model assumes to use network function …

… Thus, efficient content delivery for delay-sensitive and data-… , content providers are deploying
multi-tier content delivery … leveraging caching service in Content Delivery Networks (CDNs). …

… the advanced deep reinforcement learning algorithm, Deep Deterministic … and content
delivery problem. The DDPG agent is composed of three modules: primary network, target network…

… the jointly content placement and content delivery policy of cache-enabled D2D networks. …
to predict both the users’ mobility and content popularity. Specifically, it can predict the …

… deep reinforcement learning (DRL) association approach based on the rainbow agent with a
convolutional neural network … To solve it, we propose a multi-agent deep DRL algorithm. To …

… to lunch a saboteur content delivery network distributing malicious content and code. * …
Deep reinforcement learning for adaptive caching in hierarchical content delivery networks. …