Variational Quantum Reinforcement Learning via Evolutionary Optimization.
Samuel Yen-Chi ChenChih-Min HuangChia-Wei HsingHsi-Sheng GoanYing-Jer KaoPublished in: CoRR (2021)
Keyphrases
- evolutionary optimization
- reinforcement learning
- multi objective
- genetic optimization
- genetic algorithm
- function approximation
- constraint handling
- image segmentation
- reinforcement learning algorithms
- quantum computation
- model free
- optimal control
- state space
- optical flow
- action selection
- machine learning
- evolutionary algorithm
- fuzzy modeling
- markov decision processes
- structural design
- learning process
- quantum mechanics
- variational framework
- optimal design
- logic circuits
- control system
- dynamic programming
- optimal policy
- data mining