Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario.
Federico MasonGianfranco NencioniAndrea ZanellaPublished in: IEEE/ACM Trans. Netw. (2023)
Keyphrases
- reinforcement learning
- peer to peer
- distributed network
- communication overhead
- computer networks
- multi agent
- communication cost
- wireless sensor networks
- mobile sensor
- data transfer
- complex networks
- network structure
- distributed environment
- distributed systems
- fully distributed
- machine learning
- network nodes
- peer to peer networks
- real world
- central server
- network model
- model free
- cooperative
- lightweight
- load balance
- heterogeneous networks
- web services
- camera network
- computing platform
- reinforcement learning algorithms
- resource constraints
- state space
- markov decision processes