Transferring experience in reinforcement learning through task decomposition.
Ioannis PartalasGrigorios TsoumakasKonstantinos TzevanidisIoannis P. VlahavasPublished in: AAMAS (2) (2009)
Keyphrases
- reinforcement learning
- transfer learning
- function approximation
- learning algorithm
- multi agent
- state space
- machine learning
- information retrieval
- sufficient conditions
- text classification
- robotic control
- personal experiences
- stochastic approximation
- temporal difference learning
- action space
- action selection
- user experience
- database
- dynamic programming
- learning process
- decision trees
- data sets