A new approach for supervised learning based influence value reinforcement learning.
André ValdiviaJose Herrera QuispeDennis Barrios-AranibarPublished in: ICMLSC (2018)
Keyphrases
- reinforcement learning
- supervised learning
- learning algorithm
- function approximation
- state space
- machine learning
- learning problems
- unsupervised learning
- temporal difference
- kernel based learning
- supervised classification
- statistical learning
- dynamic programming
- active learning
- reinforcement learning algorithms
- model free
- labeled data
- website
- markov decision processes
- learning process
- database
- reinforcement learning methods
- temporal difference learning
- action selection
- multi agent
- training set
- optimal policy
- training examples
- semi supervised
- learning tasks
- kernel methods
- decision trees
- class labels
- unlabeled data
- dimensionality reduction
- hidden markov models
- prior studies
- robotic control