Kernel-Based Reinforcement Learning on Representative States.
Branislav KvetonGeorgios TheocharousPublished in: AAAI (2012)
Keyphrases
- reinforcement learning
- perceptual aliasing
- state abstraction
- state space
- state action
- function approximation
- learning algorithm
- optimal control
- transition model
- markov decision problems
- reinforcement learning algorithms
- machine learning
- kernel methods
- markov decision processes
- support vector machine
- multi agent
- reinforcement learning methods
- robotic control
- sparse kernel
- dynamic programming
- initial state
- multi class
- temporal difference
- online learning
- kernel pca
- transition probabilities
- multi agent reinforcement learning
- actor critic
- active learning
- support vector
- policy search
- markov chain
- transfer learning