Variational quantum reinforcement learning via evolutionary optimization.
Samuel Yen-Chi ChenChih-Min HuangChia-Wei HsingHsi-Sheng GoanYing-Jer KaoPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- evolutionary optimization
- reinforcement learning
- multi objective
- genetic optimization
- genetic algorithm
- constraint handling
- optimal policy
- state space
- markov decision processes
- quantum computation
- structural design
- learning process
- learning algorithm
- quantum computing
- image segmentation
- multi agent
- function approximation
- model free
- reinforcement learning algorithms
- fuzzy modeling
- probability ranking principle
- decision making
- quantum inspired
- machine learning
- optical flow
- quantum mechanics
- function approximators
- unsupervised learning
- particle swarm optimization