Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation.
Victor VillinNaoki MasuyamaYusuke NojimaPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- optimization methods
- evolutionary optimization
- wide variety
- optimization approaches
- state space
- optimization problems
- genetic algorithm
- fitness evaluation
- learning process
- optimization algorithm
- evolutionary computation
- optimization method
- global optimization
- function approximation
- data sets
- temporal difference
- optimal policy
- robotic control
- evolutionary search
- behavior patterns
- evolutionary algorithm
- multi agent
- real world