Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data.
Jiandong MuMengdi WangFeiwen ZhuJun YangWei LinWei ZhangPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2024)
Keyphrases
- historical data
- reinforcement learning
- stochastic approximation
- learning algorithm
- predictive model
- function approximation
- search space
- stream data
- state space
- data mining techniques
- demand forecasting
- stock price
- convergence rate
- customer behavior
- pruning algorithm
- model free
- reinforcement learning algorithms
- multi agent
- feature selection
- markov decision processes
- temporal difference
- dynamic programming
- machine learning
- neural network
- ensemble learning
- supervised learning
- knowledge discovery
- data model
- pruning method