Using reinforcement learning for tuning genetic algorithms.
José QuevedoMarwan F. AbdelattiFarhad ImaniManbir SodhiPublished in: GECCO Companion (2021)
Keyphrases
- reinforcement learning
- genetic algorithm
- function approximation
- evolutionary computation
- state space
- learning classifier systems
- neural network
- multi objective
- optimal policy
- simulated annealing
- population size
- robotic control
- genetic search
- learning algorithm
- modular neural networks
- metaheuristic
- evolutionary learning
- markov decision processes
- temporal difference
- classifier systems
- evolutionary algorithm
- model free
- parameter tuning
- multi agent
- artificial neural networks
- real robot
- genetic programming
- parameter settings
- optimization method
- dynamic programming
- fitness function
- tabu search
- parallel genetic algorithm
- reinforcement learning algorithms
- rule selection
- tuning parameters
- reinforcement learning methods
- temporal difference learning
- function optimization
- fine tuning
- learning process
- supervised learning
- particle swarm optimization