Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning.
Chiara CalascibettaLuca BiferaleFrancesco BorraAntonio CelaniMassimo CenciniPublished in: CoRR (2022)
Keyphrases
- multi objective
- reinforcement learning
- particle swarm optimization
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- multiobjective optimization
- function approximation
- reinforcement learning algorithms
- multiple objectives
- conflicting objectives
- genetic algorithm
- neural network
- evolutionary optimization
- state space
- pareto optimal
- multi objective optimization problems
- nsga ii
- dynamic programming
- model free
- temporal difference
- multi objective evolutionary
- objective function
- learning algorithm
- learning classifier systems
- multi objective evolutionary algorithms
- machine learning
- genetic algorithm and simulated annealing
- function approximators
- optimal control
- differential evolution
- decision making