Variational Quantum Circuits for Deep Reinforcement Learning.
Samuel Yen-Chi ChenChao-Han Huck YangJun QiPin-Yu ChenXiaoli MaHsi-Sheng GoanPublished in: IEEE Access (2020)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- function approximation
- image segmentation
- quantum inspired
- model free
- low power
- tunnel diode
- state space
- markov decision processes
- temporal difference
- reinforcement learning algorithms
- machine learning
- learning process
- framework for image segmentation
- analog circuits
- temporal difference learning
- learning algorithm
- multi agent
- mobile computing
- learning problems
- action selection
- quantum computation
- optical flow
- robotic control
- methods in computer vision
- quantum mechanics
- optical flow computation
- optimal control
- multi agent reinforcement learning
- channel capacity
- delay insensitive
- high speed
- supervised learning
- dynamic programming
- deep learning
- markov decision process
- reward function