… allocation for cloud-based software services faces huge challenges … -enabled feedback
Control with Reinforcement learning … back Control with Reinforcement learning based resource …

… for cloud-based software services with complex and … Reinforcement learning based resource
Allocation method with workload-time Windows (DRAW) for cloud-based software services …

… services installed on other switches. To this end, we propose Q-placement, a
reinforcementlearning… , to optimally decide where to place the services in an iterative manner. …

… In other words, any learning algorithm can be seen and transformed into a reinforcement
learning. In the following, based on the reinforcement learning technique, we provide several …

… a deep reinforcement learning (DRL)-based service provisioning strategy in a software-defined
industrial fog network to minimize the energy consumption of the network. The service …

… to reinforcement learning (RL), and its relationship with deep learning, machine learning …
Then we discuss opportunities of RL, in particular, products and services, games, bandits, …

… As the number of services increases, software applications … services distributed in the Web,
which leads to the service … In this paper, we presented a reinforcement learning method for …

… of Service (QoS) requirements of applications. This article introduces a novel approach …
routing in Software-defined networking (SDN), called Reinforcement Learning and Software-…

… with a reinforcement learning–based QoE/QoS-aware SFC orchestration agent as a service
… Therefore, we believe that the standard reinforcement learning does not serve well in Q2-…

… We assume that self-adaptive software consists of changing in … multi-agent reinforcement
learning technology to complete service composition. For a multi-agent reinforcement learning …