Reinforcement Learning with Quantum Variational Circuits.
Owen LockwoodMei SiPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- quantum inspired
- function approximation
- image segmentation
- state space
- multi agent
- learning algorithm
- quantum computation
- methods in computer vision
- mobile computing
- model free
- circuit design
- temporal difference learning
- temporal difference
- optimal policy
- policy search
- robotic control
- tunnel diode
- variational methods
- dynamic programming
- optical flow
- function approximators
- digital circuits
- learning agent
- asynchronous circuits
- variational framework
- markov decision process
- optimal control
- learning process
- image processing
- machine learning