RL-TEE: Autonomous Probe Guidance for Transesophageal Echocardiography Based on Attention-Augmented Deep Reinforcement Learning.
Keyu LiAng LiYangxin XuHuahua XiongMax Q.-H. MengPublished in: IEEE Trans Autom. Sci. Eng. (2024)
Keyphrases
- reinforcement learning
- autonomous learning
- autonomous mental development
- function approximation
- reinforcement learning algorithms
- model free
- optimal policy
- rl algorithms
- markov decision processes
- learning capabilities
- temporal difference
- learning algorithm
- state space
- control problems
- partially observable
- visual attention
- partially observable domains
- mitral valve
- approximate dynamic programming
- cooperative
- machine learning
- dynamic programming
- learning problems
- optimal control
- patient specific
- learning process
- td learning
- actor critic
- multi agent reinforcement learning
- multi agent
- left ventricle
- temporal difference learning
- learning agents
- policy iteration
- continuous state
- policy gradient
- reinforcement learning methods
- function approximators
- transfer learning
- direct policy search
- markov decision process