… intelligent multicast routing algorithm, which utilizes deep reinforcement learning methods
to construct multicast … The algorithm abstracts the construction of a multicast forwarding path …

… for optimizing multiple sinks in wsn with reinforcement learning,” in Intelligent Sensors,
Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on. …

… In present and future Intelligent Transportation … is a multicast routing with resource reservation
to support flows with soft delay requirements in MANETs [35]. It is a mesh-based multicast …

… on reinforcement learning technique and QLearning method (… on Reinforcement Learning
techniques to solve the routing … computational intelligence system. RL is the most significant …

… and slow convergence of the intelligent models. In this paper, an intelligent multicast routing
algorithm based on deep hierarchical reinforcement learning is proposed to circumvent the …

… routing method and the multiagent reinforcement learning … of adopting reinforce ment learning
nietliod in multicast routing … Swarm intelligence forms the core of an enabling technology …

… construct high stable clusters supporting multicast routing in ICR-MANETs … reinforcement
learning for multicast routing in ICRMANETs, this paper proposes a new multicast QoS routing …

… can effectively generate a multicast tree by applying meta reinforcement learning on SDN-based
smart network platforms is proposed. Generating an optimal multicast tree requires NP-…

… It has applications in a wide range of fields, such as goods transportation in logistics
systems [1], power transmission in smart grids [2], traffic scheduling in intelligent transportation …

… future 6G vehicular intelligence. The main … QoS multicast routing (DQMR) protocol in
CR-MANETs. However, the DQMR protocol was shown to be applicable only for the multicast routing…