Multi-Agent Deep Reinforcement Learning for Enhancement of Distributed Resource Allocation in Vehicular Network.
Odilbek UrmonovHayotjon AlievHyungWon KimPublished in: IEEE Syst. J. (2023)
Keyphrases
- reinforcement learning
- multi agent
- learning agents
- distributed resource allocation
- heterogeneous networks
- multi agent systems
- state space
- cooperative
- intelligent agents
- resource allocation
- function approximation
- propagation model
- wireless sensor networks
- decision problems
- markov decision processes
- network structure
- network traffic
- urban areas
- multiple agents
- model free
- action selection
- information processing
- leader follower