Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT.
Peiying ZhangChao WangChunxiao JiangZhu HanPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- reinforcement learning
- data management
- learning algorithm
- reinforcement learning algorithms
- database systems
- database management systems
- function approximation
- state space
- learning process
- markov decision processes
- data warehousing
- fitted q iteration
- digital libraries
- temporal difference
- scientific data
- learning tasks
- training examples
- data integration
- query processing
- action selection
- database
- learning problems
- machine learning
- rl algorithms
- active learning
- heterogeneous data
- model free
- sample complexity
- mobile computing
- data warehouse
- databases
- temporal difference learning
- deep learning
- neural network
- supervised learning
- generalization ability
- dynamic programming
- labeled data
- multi agent
- transfer learning
- optimal policy
- machine learning algorithms
- data mining
- policy search
- function approximators
- action space
- real robot
- back propagation
- optimal control
- training data
- decision trees
- learning rate
- generalization error