31 search results - page 1 / 7 » Using ILP to Improve Planning in Hierarchical Reinforcement ... |
ILP
2000
Springer
15 years 3 months ago
2000
Springer
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
AUSAI
2008
Springer
15 years 1 months ago
2008
Springer
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-ta...
102
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ATAL
2006
Springer
15 years 3 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...
109
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AGENTS
2001
Springer
15 years 4 months ago
2001
Springer
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
126
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ILP
2007
Springer
15 years 5 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...