Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks.
Tarek FaycalClaudio ZitoPublished in: CoRR (2022)
Keyphrases
- learning tasks
- genetic algorithm
- evolutionary algorithm
- differential evolution
- learning problems
- multi task learning
- mutation operator
- genetic programming
- learning experience
- fitness function
- machine learning
- crossover operator
- genetic algorithm ga
- supervised learning
- learning algorithm
- reinforcement learning
- transfer learning
- neural network
- machine learning algorithms
- simulated annealing
- genetic operators
- particle swarm optimization
- kernel methods
- semi supervised
- kernel learning
- candidate solutions
- multitask learning
- mutation probability