Subject Learning Options Analysis
نویسندگان
چکیده
منابع مشابه
Learning Options in Reinforcement Learning
Temporally extended actions (e.g., macro actions) have proven very useful in speeding up learning, ensuring robustness and building prior knowledge into AI systems. The options framework (Precup, 2000; Sutton, Precup & Singh, 1999) provides a natural way of incorporating such actions into reinforcement learning systems, but leaves open the issue of how good options might be identified. In this ...
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Hierarchical Reinforcement Learning solves problems by decomposing them into a set of sub-tasks or options. In this paper we develop a method of soliciting options from everyday people. We show how humans design actions that naturally decompose the problem, making them compatible with the options framework. We instantiate our approach in the Taxi domain and Pac-Man and show that the human-deriv...
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ژورنال
عنوان ژورنال: SOCIETY, INTEGRATION, EDUCATION. Proceedings of the International Scientific Conference
سال: 2015
ISSN: 1691-5887
DOI: 10.17770/sie2015vol4.399