Multi-stage Neural Networks: Function Approximator of Machine Precision.
Yongji WangChing-Yao LaiPublished in: CoRR (2023)
Keyphrases
- multistage
- function approximators
- neural network
- function approximation
- reinforcement learning
- temporal difference
- single stage
- lot sizing
- dynamic programming
- action space
- learning tasks
- reinforcement learning problems
- reinforcement learning algorithms
- optimal policy
- state space
- artificial neural networks
- temporal difference methods
- markov decision processes
- model free
- flowshop
- real valued
- cost function
- pattern recognition
- monte carlo
- weight vector
- fuzzy logic
- scheduling problem
- learning algorithm
- machine learning