VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation.
Yuan BiZhongliang JiangYuan GaoThomas WendlerAngelos KarlasNassir NavabPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- real world
- function approximation
- reinforcement learning algorithms
- control problems
- markov decision processes
- model free
- state space
- multi agent
- temporal difference
- learning algorithm
- reinforcement learning methods
- machine learning
- optimal policy
- wide range
- case study
- rl algorithms
- action selection
- learning process
- temporal difference learning
- data sets
- transfer learning
- supervised learning
- continuous state
- partially observable domains
- learning capabilities
- function approximators
- action space
- optimal control
- markov decision process
- partially observable markov decision processes
- data mining
- synthetic data
- autonomous learning
- policy search
- dynamic programming
- temporal difference methods
- fitted q iteration