Deep Reinforcement Learning Perspectives on Improving Reliable Transmissions in IoT Networks: Problem Formulation, Parameter Choices, Challenges, and Future Directions.
Melchizedek AlipioMiroslav BuresPublished in: Internet Things (2023)
Keyphrases
- future directions
- lessons learned
- reinforcement learning
- current challenges
- parameter choices
- open questions
- advanced technologies
- current status
- neighboring nodes
- cloud computing
- optimal policy
- function approximation
- current trends
- management system
- wireless sensor networks
- social networks
- state space
- multi agent
- model free
- complex networks
- software product line
- web intelligence
- data sets
- data processing
- data management
- learning algorithm
- data mining