Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes.
Nick ZhangAbhishek GuptaZefeng ChenYew-Soon OngPublished in: IEEE Trans. Cogn. Dev. Syst. (2023)
Keyphrases
- multi task
- reinforcement learning
- transfer learning
- learning tasks
- function approximators
- multitask learning
- multi task learning
- learning problems
- function approximation
- multiple tasks
- learning algorithm
- reinforcement learning algorithms
- artificial neural networks
- multi class
- multiclass support vector machines
- gaussian processes
- temporal difference
- machine learning
- state space
- feature selection
- maximum margin
- neural network
- data sets
- learning models
- markov random field
- gaussian process
- pairwise
- binary classification problems