Relational Representations in Reinforcement Learning: Review and Open Problems
Otterlo van, Martijn (2002) Relational Representations in Reinforcement Learning: Review and Open Problems. In: ICML'02 Workshop on Development of Representations, 9 July 2002, Sydney, Austraulia.
|Abstract:||This paper is about representation in RL.We discuss some of the concepts in representation and generalization in reinforcement learning and argue for higher-order representations, instead of the commonly used propositional representations. The paper contains a small review of current reinforcement learning systems using higher-order representations, followed by a brief discussion. The paper ends with research directions and open problems.
|Item Type:||Conference or Workshop Item|
Electrical Engineering, Mathematics and Computer Science (EEMCS)
|Link to this item:||http://purl.utwente.nl/publications/65334|
|Export this item as:||BibTeX|
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