Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4.
Yixing WangYang XiaoYuqian SongJingli ZhouJun LiuPublished in: CNSM (2023)
Keyphrases
- reinforcement learning
- routing algorithm
- ad hoc networks
- markov decision processes
- function approximation
- bayesian networks
- uncertain data
- cognitive science
- routing protocol
- state space
- transfer learning
- generative model
- dynamic programming
- multi agent
- neural network
- routing problem
- temporal difference
- probability theory
- reinforcement learning algorithms
- working memory
- deep learning
- wireless ad hoc networks
- robotic control