Distributed Reinforcement Learning is a Dataflow Problem.
Eric LiangZhanghao WuMichael LuoSven MikaIon StoicaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- multi agent
- distributed systems
- state space
- mobile agents
- communication overhead
- learning algorithm
- parallel execution
- robotic control
- machine learning
- cooperative
- distributed network
- databases
- function approximation
- markov decision processes
- reinforcement learning algorithms
- action selection
- optimal control
- computer networks
- distributed environment
- learning process
- data mining