… and resource allocation … actor-critic reinforcement learning algorithm is proposed to obtain
the optimal policy for the problem with continuous-valued state and action variables. The actor …

… In this paper, we jointly consider tasks offloading policy, computational resources allocation
… , an online actor-critic reinforcement learning (RL) based offloading and resource allocation …

… and efficient cloud resource allocation scheme based on Actor-Critic Deep Reinforcement
… An actor-critic DRL (A3C) based resource allocation method is proposed to efficiently …

… usage) have continuous space as well as for fast decisionmaking in cloud computing, we
adopt an advantage actorcritic based RL method to explore the optimal policy with low …

… 5, we introduce the resource allocation in RL-framework and an online and on-policy actor-critic
algorithm with eligibility traces is proposed. Section 6 describes simulation environment …

… state of the art hierarchical deep actor-critic networks (H-DAC… actor-critic based reinforcement
learning (RL) is used in this paper to solve the joint network control and resource allocation …

… allocate resource efficiently in optical networks, named actor-critic-based resource allocation
… In this paper, we propose an actor-critic-based resource allocation (ACRA) algorithm to …

… actor-critic learning based techniques to optimize the placement of resource allocation …
Different than previous works, in this paper, we propose an actor-critic learning model that aims to …

… paper uses the actor–critic RL framework to … actor–critic deep RL algorithm to learn the
optimal stochastic policy for content caching, computing offloading, and radio resources allocation…

… analyze its performance in our actor-critic based resource allocation model. Similar to the
actor-critic model, the actor represents the actions and the critic provides the estimations of the …