Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs.
Leonardo Lucio CustodeGiovanni IaccaPublished in: GECCO Companion (2022)
Keyphrases
- learning tasks
- learning problems
- transfer learning
- visual concepts
- meta learning
- multi task
- machine learning
- supervised learning
- reinforcement learning
- learning algorithm
- function approximation
- learning experience
- multitask learning
- multi task learning
- machine learning algorithms
- kernel methods
- metric learning
- multi label
- hypothesis space
- active learning
- natural language
- learning models
- image processing
- semi supervised learning
- neural network
- markov random field