Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning.
Christoffel DoormanVictor-Alexandru DarvariuStephen HailesMirco MusolesiPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- dynamic networks
- distribution network
- complex networks
- information theory
- computer networks
- mutual information
- function approximation
- peer to peer
- information theoretic
- data sets
- network size
- reinforcement learning algorithms
- mobile devices
- communication networks
- wireless sensor networks
- real time
- dynamic environments
- network design
- network structure
- dynamically changing
- deep learning
- optimal policy
- machine learning