Scheduling Large-scale Distributed Training via Reinforcement Learning.
Zhanglin PengJiamin RenRuimao ZhangLingyun WuXinjiang WangPing LuoPublished in: IEEE BigData (2018)
Keyphrases
- reinforcement learning
- meeting scheduling
- multi agent
- scheduling problem
- distributed environment
- function approximation
- small scale
- dynamic scheduling
- supervised learning
- training set
- training process
- data intensive
- distributed stream processing
- markov decision processes
- scheduling algorithm
- distributed systems
- computational grids
- information systems
- training algorithm
- temporal difference
- round robin
- resource allocation
- neural network
- cooperative
- machine learning
- computer networks
- transfer learning
- mobile agents
- training examples
- training samples
- parallel machines
- online learning
- peer to peer
- response time
- flexible manufacturing systems
- hidden markov models
- decision trees