Deep Reinforcement Learning of Transition States.
Jun ZhangYao-Kun LeiZhen ZhangXu HanMaodong LiLijiang YangYi Isaac YangYi Qin GaoPublished in: CoRR (2020)
Keyphrases
- transition model
- reinforcement learning
- perceptual aliasing
- state transition
- state transitions
- markov decision problems
- state space
- function approximation
- state abstraction
- temporal difference
- reinforcement learning algorithms
- markov decision processes
- neural network
- multi agent reinforcement learning
- multi agent
- robotic control
- model free
- learning capabilities
- action selection
- state variables
- learning process
- learning algorithm
- machine learning