A study in using temporal abstraction and function approximation in reinforcement learning /
The incorporation of temporally extended actions, or options , into the reinforcement learning framework has proven to be useful in planning and knowledge representation. Options provide a form of temporal abstraction, as they represent courses of action of variable duration. At the same time, agent...
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| Format: | Others |
| Language: | en |
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McGill University
2006
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97974 |