A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression.
Nicoló SavioliPublished in: CoRR (2019)
Keyphrases
- policy gradient
- actor critic
- reinforcement learning
- gradient method
- function approximation
- optimal control
- approximate dynamic programming
- temporal difference
- policy gradient methods
- image processing
- reinforcement learning algorithms
- approximation methods
- generative model
- neuro fuzzy
- markov decision processes
- data mining
- monte carlo
- natural actor critic
- wavelet transform
- multi agent
- variance reduction
- average reward
- step size
- policy iteration
- single agent
- optimization methods
- learning tasks
- sufficient conditions
- learning algorithm