Air-to-ground shepherd problem: An action-delay reinforcement learning approach.
Jiangcheng ZhuChao XuPublished in: ACC (2017)
Keyphrases
- reinforcement learning
- action selection
- action space
- reward shaping
- partially observable domains
- transition model
- markov decision processes
- state action
- reinforcement learning algorithms
- temporal difference
- function approximation
- state space
- robotic control
- optimal policy
- machine learning
- temporal difference learning
- reinforcement learning methods
- learning problems
- neural network
- transfer learning
- continuous state
- learning process
- policy search
- spatio temporal