… This paper constructs a three-layer offloading framework in intelligent Internet of Vehicles
(IoV) to … After that, a deep reinforcement learning-based scheme is put forward to solve the …

… paradigm, enables the vehicles to utilize the resources of the … support for IoV applications,
vehicle mobility and other factors … been attempts to integrate deep reinforcement learning (DRL…

… vehicle must learn the optimal delivery policy by interacting with the environment. To solve
this problem and optimize the vehicle’s cost, we propose a double deep … , the double deep Q …

… of a new concept known as Internet of Vehicles (IoV). The IoV … in the various applications
of vehicle communication. AI provides … In this paper, some concepts related to deep learning …

… deep deterministic policy gradient (DDPG) algorithm. Especially, we focus on the Internet of
Vehicles … Then, we turn the formulated problem into a reinforcement learning problem and …

… For dynamic network clustering, the actor-critic based DRL is employed as the deep
reinforcement learning model in this paper. The reinforcement learning (RL) consists of set of state-…

… targeting connected vehicle services and applications, also known as Internet of Vehicles (…
, decoupled from the data plane, and uses vehicle location and control traffic load to perform …

… capability for diverse and time-varying features of Internet of Connected Vehicles (IoCVs), …
intent-based traffic control system by investigating Deep Reinforcement Learning (DRL) for 5G-…

… Wu, “Deep reinforcement learning-based intelligent reflecting surface for secure wireless …
Huang, and RYK Kwok, “Deep reinforcement learning for intelligent internet of vehicles: An …

… the edge cache of the Internet of vehicles with DRL algorithm for … The mobile Internet and
the Internet of Things are deeply … analyzes edge caching for Internet of Vehicles, and proposes …