Distributed Frame Size Selection for a Q learning based Slotted ALOHA Protocol.
Yan YanPaul D. MitchellTim ClarkeDavid GracePublished in: ISWCS (2013)
Keyphrases
- multi agent
- cooperative
- lightweight
- reinforcement learning
- distributed systems
- group communication
- multi party
- function approximation
- underwater acoustic
- mac protocol
- tcp ip
- distributed environment
- optimal policy
- state space
- computing environments
- learning algorithm
- distributed database systems
- reinforcement learning algorithms
- communication protocol
- end to end
- stochastic approximation
- wide area network
- multi agent reinforcement learning
- multi agent systems
- remote server