Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning.
Dan ZhouJiqing DuSachiyo AraiPublished in: IEEE Access (2023)
Keyphrases
- evolutionary algorithm
- multi objective
- cooperative
- multi objective optimization
- reinforcement learning
- nsga ii
- evolutionary computation
- multiobjective optimization
- optimization algorithm
- differential evolution
- optimization problems
- fitness function
- mutation operator
- genetic programming
- genetic operators
- genetic algorithm
- simulated annealing
- particle swarm optimization
- multiple objectives
- function optimization
- multi objective optimization problems
- multi agent
- pareto optimal
- conflicting objectives
- multi agent systems
- crossover operator
- evolution strategy
- multi agent reinforcement learning
- bi objective
- neural network
- learning algorithm
- learning classifier systems
- multiobjective evolutionary algorithm
- function approximation
- computationally expensive
- pareto optimal solutions
- multi objective evolutionary
- evolutionary process
- optimal control
- state space
- learning process
- trade off
- machine learning