… In this section, the resource allocation scheme based on deep reinforcement learning is
extended to the broadcast V2V communication scenario. We first introduce the broadcast system …

… deep reinforcement learning for AI problems, we consider building systems that learn to
manage resources … of packing tasks with multiple resource demands into a learning problem. …

… Deep Reinforcement Learning based Resource Allocation (DRLRA) scheme, which can
allocate computing and network resources … balance the use of resources under varying MEC …

… the overall resource allocation and power … for VM resource allocation to the servers and a
local tier for distributed power management of local servers. The emerging deep reinforcement …

… success of Deep Reinforcement Learning (… resource allocation in cloud RANs. Specifically,
we define the state space, action space and reward function for the DRL agent, apply a Deep …

… However, the MEC system usually only has the limited virtual resources, which are … a
resource allocation policy for the IoT edge computing system to improve the efficiency of resource …

… is challenging to obtain an optimal strategy for the joint user association and resource
allocation issue. In this paper, a reinforcement learning (RL) approach is proposed to achieve the …

… Under this content-centric IoT, aiming to allocate the cache … First, we formulate the QoE
as a green resource allocation … resource allocation algorithm based on Deep Reinforcement …

… To this end, we propose RL-based optimization framework to tackle the resource allocation
in wireless MEC. Specifically, the Qlearning based and Deep Reinforcement Learning (DRL) …

… In this article, we propose a deep reinforcement learning (DRL)-based resource allocation
… We formulate the optimal resource allocation problem as a minimal delay model, where in-…