Human versus Machine Attention in Deep Reinforcement Learning Tasks.
Ruohan ZhangBo LiuYifeng ZhuSihang GuoMary M. HayhoeDana H. BallardPeter StonePublished in: CoRR (2020)
Keyphrases
- learning tasks
- human learning
- learning problems
- learning machines
- meta learning
- learning algorithm
- machine learning
- transfer learning
- supervised learning
- learning experience
- multi task
- function approximation
- multi task learning
- learning models
- machine learning algorithms
- metric learning
- reinforcement learning
- hypothesis space
- multitask learning
- image segmentation
- training data
- real world
- active learning
- learning process
- feature extraction
- semi supervised learning
- decision trees
- nearest neighbor