65 search results - page 6 / 13 » Graph Laplacian based transfer learning in reinforcement lea... |
AIED
2009
Springer
14 years 2 months ago
2009
Springer
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
AAAI
1998
13 years 9 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
AAAI
2010
13 years 8 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
ILP
2003
Springer
14 years 24 days ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...