… reinforcement learning with other techniques forms promising solutions. The review finds that
deep reinforcement learning … Therefore, a new intelligent and efficient approach to cope up …

… network-based and MS-based handover approaches are adaptively considered to find an
optimal handover policy; (2) to determine the WLAN handover policy, we considered not only …

… while maintaining a lower handover cost. Hence, a reinforcement learning-based solution will
… Kim, “Intelligent handover scheme for drone using fuzzy inference systems,” IEEE Access, …

… reinforcement learning (DRL) in tackling sequential decision-making tasks, we therefore
develop an intelligent … Finally, we evaluate the impact of the handover punishment factor η in the …

… link blockage occurred, the handover agent can intelligently analyze the channel blockage
… on deep reinforcement learning (DRL), where a central controller optimizes the handover …

… reinforcement learning framework based on the Actor − Critic method to deal with the wireless
handover … Demarchou et al. in [18] designed an intelligent handover skip scheme based …

… The current handover (HO) triggering … network, reinforcement learning has attracted
considerable research attention. References [13,14,15,16] demonstrated the reinforcement learning-…

… To solve this problem, we propose SECHO, a secure handover … reinforcement learning
algorithm to realize optimal handover, … enhances the ability of MEC system to make intelligent …

… the delay caused by the handover process, we apply a far-sighted Artificial Intelligence (AI) …
[5] proposed a smart handover method adopting a reinforcement learning (RL) technique, ie…

… Reinforcement learning [17] is a promising … to the handover process, and the objective of
this paper is to design a distributed intelligent handover algorithm to enable effective handover …