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"Novelty and Reinforcement Learning in the Value System of Developmental Robots"^^ .
"The value system of a developmental robot signals the occurrence of salient sensory inputs, modulates the mapping from sensory inputs to action outputs, and evaluates candidate actions. In the work reported here, a low level value system is modeled and implemented. It simulates the non-associative animal learning mechanism known as habituation effect. Reinforcement learning is also integrated with novelty. Experimental results show that the proposed value system works as designed in a study of robot viewing angle selection."^^ .
"2002" .
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"94" .
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"Lund University Cognitive Studies"^^ .
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"Hideki"^^ .
"Kozima"^^ .
"Hideki Kozima"^^ .
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"Yuval"^^ .
"Marom"^^ .
"Yuval Marom"^^ .
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"Yiannis"^^ .
"Demiris"^^ .
"Yiannis Demiris"^^ .
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"Xiao"^^ .
"Huang"^^ .
"Xiao Huang"^^ .
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"John"^^ .
"Weng"^^ .
"John Weng"^^ .
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"Christopher G."^^ .
"Prince"^^ .
"Christopher G. Prince"^^ .
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"Christian"^^ .
"Balkenius"^^ .
"Christian Balkenius"^^ .
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"Novelty and Reinforcement Learning in the Value System of Developmental Robots (PDF)"^^ .
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"Huang.pdf"^^ .
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"Novelty and Reinforcement Learning in the Value System of Developmental Robots (Image (PNG))"^^ .
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"preview.png"^^ .
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"Novelty and Reinforcement Learning in the Value System of Developmental Robots (Indexer Terms)"^^ .