96 search results - page 3 / 20 » Automatic induction of generalization hierarchies for reinfo... |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
KCAP
2005
ACM
15 years 3 months ago
2005
ACM
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
ICMLA
2010
14 years 7 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
AI
1999
Springer
14 years 9 months ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...