Towards Deeper Deep Reinforcement Learning with Spectral Normalization.
Johan BjorckCarla P. GomesKilian Q. WeinbergerPublished in: NeurIPS (2021)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- spectral analysis
- state space
- reinforcement learning algorithms
- normalization method
- multi agent
- hyperspectral imagery
- markov decision processes
- model free
- deep learning
- temporal difference
- spectral images
- image normalization
- hyperspectral images
- preprocessing
- spatial frequency
- dynamic programming
- temporal difference learning
- autonomous learning
- learning process
- video sequences
- robotic control