Deep reinforcement learning in edge networks: Challenges and future directions.
Abhishek HazraVeera Manikantha Rayudu TummalaNabajyoti MazumdarDipak Kumar SahMainak AdhikariPublished in: Phys. Commun. (2024)
Keyphrases
- future directions
- lessons learned
- reinforcement learning
- current challenges
- open questions
- case study
- current status
- state space
- advanced technologies
- current trends
- multi agent
- complex networks
- health sciences
- web intelligence
- function approximation
- network structure
- edge detection
- machine learning
- temporal difference
- reinforcement learning algorithms
- social networks
- software product line
- researchers and practitioners
- software engineering
- learning process
- e learning
- learning algorithm
- data mining