Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning.
Marcelo Gomes Pereira de LacerdaFernando Buarque de Lima NetoTeresa Bernarda LudermirHerbert KuchenPublished in: Swarm Intell. (2023)
Keyphrases
- reinforcement learning
- learning algorithm
- multi agent
- computational complexity
- parameter tuning
- significant improvement
- swarm intelligence
- distributed systems
- control policies
- control problems
- control strategies
- parameter settings
- theoretical analysis
- worst case
- control system
- evolutionary algorithm
- cooperative
- machine learning
- particle swarm optimization
- optimization problems
- genetic algorithm ga
- state space
- optimal control
- model free
- stochastic approximation
- genetic algorithm