Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation.
Victor VillinNaoki MasuyamaYusuke NojimaPublished in: SSCI (2021)
Keyphrases
- reinforcement learning
- evolutionary optimization
- optimization methods
- fitness evaluation
- optimization approaches
- fitness function
- evolutionary computation
- markov decision processes
- optimization algorithm
- genetic programming
- machine learning
- genetic algorithm
- cognitive style
- generation process
- reinforcement learning algorithms
- optimization process
- model free
- constrained optimization
- function approximation
- optimization method
- real world
- wide variety
- human behavior
- supervised learning
- evolutionary algorithm
- multi objective
- evolutionary strategy
- dynamic programming
- learning algorithm
- state space
- multi agent environments