Enhanced Bayesian Compression via Deep Reinforcement Learning.
Xin YuanLiangliang RenJiwen LuJie ZhouPublished in: CVPR (2019)
Keyphrases
- reinforcement learning
- belief nets
- data compression
- image compression
- function approximation
- compression scheme
- compression algorithm
- state space
- learning algorithm
- bayesian estimation
- reinforcement learning algorithms
- temporal difference
- bayesian inference
- bayesian networks
- compression ratio
- bayesian learning
- machine learning
- multi agent
- random access
- data driven
- lossless compression
- compression rate
- maximum likelihood
- probabilistic model
- function approximators
- reinforcement learning methods
- transfer learning
- multiscale
- bayesian analysis
- compressed data
- policy search
- model free
- lossy compression
- reward function
- decision theory
- learning classifier systems
- posterior distribution
- learning problems
- particle filter
- dynamic programming