Multi-view reinforcement learning for sequential decision-making with insufficient state information.
Min LiWilliam ZhuShiping WangPublished in: Int. J. Mach. Learn. Cybern. (2024)
Keyphrases
- multi view
- sequential decision making
- reinforcement learning
- state information
- state space
- action space
- function approximation
- depth map
- reinforcement learning algorithms
- temporal difference
- three dimensional
- d objects
- markov decision processes
- machine learning
- semi supervised
- multi agent
- optimal policy
- action selection
- decision problems
- model free
- partially observable
- supervised learning
- action models
- learning algorithm
- object recognition
- markov chain
- dynamic programming
- transfer learning
- monte carlo