An efficient and scalable variational quantum circuits approach for deep reinforcement learning.
Niyazi Furkan BarHasan YetisMehmet KarakösePublished in: Quantum Inf. Process. (2023)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- image segmentation
- memory efficient
- state space
- function approximation
- highly scalable
- multi agent
- model free
- low power
- variational methods
- reinforcement learning algorithms
- highly efficient
- data sets
- high speed
- dynamic programming
- learning algorithm
- information retrieval
- machine learning
- neural network