Multi-Agent Deep Reinforcement Learning For Distributed Handover Management In Dense MmWave Networks.
Mohamed SanaAntonio De DomenicoEmilio Calvanese StrinatiAntonio ClementePublished in: ICASSP (2020)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- multi agent systems
- multi agent reinforcement learning
- computer networks
- distributed systems
- intelligent agents
- function approximation
- state space
- software agents
- peer to peer networks
- distributed environment
- management system
- information systems
- multi agent environments
- data management
- multiagent systems
- agent based simulations
- multi agent architecture
- wide area network
- temporal difference
- heterogeneous networks
- single agent
- multi agent coordination
- structured peer to peer
- network nodes
- learning agents
- learning algorithm
- reinforcement learning algorithms
- model free
- optimal policy
- knowledge management
- mobile communication
- cellular networks
- network management
- configuration management
- base station
- densely connected
- social networks
- machine learning