Variational quantum compiling with double Q-learning.
Zhimin HeLvzhou LiShenggen ZhengYongyao LiHaozhen SituPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- cooperative
- quantum computing
- image segmentation
- quantum computation
- multi agent
- state space
- learning algorithm
- model free
- reinforcement learning algorithms
- stochastic approximation
- optimal policy
- dynamic programming
- learning rate
- optical flow
- multi agent reinforcement learning
- optical flow computation
- quantum inspired
- action selection
- temporal difference
- variational methods
- logic circuits
- neural network
- bucket brigade
- computer vision
- potential field
- multiagent learning
- quantum mechanics
- free energy
- monte carlo