Learning at Variable Attentional Load Requires Cooperation of Working Memory, Meta-learning, and Attention-augmented Reinforcement Learning.
Thilo WomelsdorfMarcus R. WatsonPaul H. E. TiesingaPublished in: J. Cogn. Neurosci. (2022)
Keyphrases
- meta learning
- reinforcement learning
- learning tasks
- working memory
- focus of attention
- cognitive load
- learning process
- learning algorithm
- inductive learning
- model selection
- machine learning
- computational model
- action selection
- data mining
- machine learning algorithms
- training data
- visual attention
- knowledge acquisition
- supervised learning
- decision trees
- individual differences
- feature selection
- long term memory
- working memory capacity