?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Novelty+and+Reinforcement+Learning+in+the+Value+System+of+Developmental+Robots&rft.creator=Huang%2C+Xiao&rft.creator=Weng%2C+John&rft.subject=Statistical+Models&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.subject=Robotics&rft.description=The+value+system+of+a+developmental+robot+signals+the+occurrence+of+salient+sensory+inputs%2C+modulates+the+mapping+from+sensory+inputs+to+action+outputs%2C+and+evaluates+candidate+actions.+In+the+work+reported+here%2C+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.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Demiris%2C+Yiannis&rft.contributor=Marom%2C+Yuval&rft.contributor=Kozima%2C+Hideki&rft.contributor=Balkenius%2C+Christian&rft.date=2002&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2511%2F1%2FHuang.pdf&rft.identifier=++Huang%2C+Xiao+and+Weng%2C+John++(2002)+Novelty+and+Reinforcement+Learning+in+the+Value+System+of+Developmental+Robots.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F2511%2F