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.
Original language | English |
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Number of pages | 8 |
Publication status | Published - 9 Jul 2002 |
Event | ICML-2002 Workshop on Development of Representations - University of New South Wales, Sydney, Australia Duration: 9 Jul 2002 → 9 Jul 2002 http://www.demo.cs.brandeis.edu/icml02ws/ |
Workshop
Workshop | ICML-2002 Workshop on Development of Representations |
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Country | Australia |
City | Sydney |
Period | 9/07/02 → 9/07/02 |
Internet address |
Keywords
- EWI-14945
- Review
- relational representations
- HMI-IA: Intelligent Agents
- IR-65334
- Generalization
- Reinforcement learning