Multi-Level Policy and Reward Reinforcement Learning for Image Captioning.
Anan LiuNing XuHanwang ZhangWeizhi NieYuting SuYongdong ZhangPublished in: IJCAI (2018)
Keyphrases
- reinforcement learning
- input image
- image data
- image analysis
- image features
- single image
- image classification
- optimal policy
- reward function
- high resolution
- low level
- segmentation method
- image segmentation
- image content
- multiscale
- image representation
- learning algorithm
- template matching
- segmentation algorithm
- image collections
- partially observable environments
- policy search
- average reward
- reinforcement learning algorithms
- machine learning
- image pixels
- test images
- markov decision processes
- image retrieval
- image regions
- region of interest
- similarity measure
- pixel values
- optimal control
- dynamic programming
- edge detection
- reinforcement learning problems
- total reward
- image quality