Factored Adaptation for Non-Stationary Reinforcement Learning.
Fan FengBiwei HuangKun ZhangSara MagliacanePublished in: NeurIPS (2022)
Keyphrases
- non stationary
- reinforcement learning
- state space
- adaptation process
- adaptive algorithms
- random fields
- factored markov decision processes
- function approximation
- empirical mode decomposition
- autoregressive
- learning algorithm
- temporal evolution
- stock price
- machine learning
- blind source separation
- financial time series
- image quality
- multiresolution
- concept drift
- model free
- multispectral
- dynamic programming