Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks.
Jung-Yeon BaekGeorges KaddoumPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- resource allocation
- heterogeneous networks
- social networks
- complex networks
- recurrent networks
- network structure
- single image
- transfer learning
- network analysis
- agent receives
- spiking neural networks
- resource consumption
- grid environment
- reinforcement learning algorithms
- model free
- web resources
- machine learning
- computer networks
- markov decision processes
- resource constraints
- temporal difference
- multiple types
- recurrent neural networks
- feed forward
- deep learning
- state space
- dynamic programming
- robotic control
- learning algorithm