TY  - JOUR
AU  - Martinez, Aritz D.
AU  - Del Ser, Javier
AU  - Osaba, Eneko
AU  - Herrera, Francisco
PY  - 2022
DO  - 10.1109/TEVC.2021.3083362
SN  - 1089-778X
AB  - Evolutionary computation has largely exhibited its potential to complement conventional learning algorithms in a variety of machine learning tasks, especially those related to unsupervised (clustering) and supervised learning. It has not been until...
LA  - eng
TI  - Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
TY  - journal article
ER  -