Directed Exploration in Black-Box Optimization for Multi-Objective Reinforcement Learning.
Javier GarcíaRoberto IglesiasMiguel A. RodríguezCarlos V. RegueiroPublished in: Int. J. Inf. Technol. Decis. Mak. (2019)
Keyphrases
- black box
- multi objective
- optimization algorithm
- reinforcement learning
- multiple objectives
- evolutionary optimization
- black boxes
- multiobjective optimization
- conflicting objectives
- evolutionary algorithm
- optimum design
- optimization method
- white box
- multi objective optimization
- active exploration
- test cases
- particle swarm optimization
- objective function
- markov decision processes
- optimization problems
- integration testing
- action selection
- exploration strategy
- hybrid systems
- differential evolution
- state space
- optimal policy
- multi objective optimization problems
- genetic algorithm
- monitoring system
- learning algorithm
- database systems
- candidate solutions
- software engineering
- function approximation