Machine versus Human Attention in Deep Reinforcement Learning Tasks.
Sihang GuoRuohan ZhangBo LiuYifeng ZhuDana H. BallardMary M. HayhoePeter StonePublished in: NeurIPS (2021)
Keyphrases
- learning tasks
- human learning
- learning problems
- learning machines
- transfer learning
- meta learning
- machine learning
- learning algorithm
- supervised learning
- function approximation
- machine learning algorithms
- multi task
- learning experience
- multi task learning
- multi label
- reinforcement learning
- kernel methods
- learning models
- hypothesis space
- higher order
- data sets
- multitask learning
- metric learning
- classification accuracy
- face recognition
- information retrieval
- training data