In: Oral and Maxillofacial Surgery, 2014, vol. 18, no. 3, p. 297-304
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Thèse de doctorat : Università della Svizzera italiana, 2012 ; 2012INFO001.
Creating autonomous agents that learn to act from sequential interactions has long been perceived as one of the ultimate goals of Artificial Intelligence (AI). Reinforcement Learning (RL), a subfield of Machine Learning (ML), addresses important aspects of this objective. This dissertation investigates a particular problem encountered in RL called representation generation. Two related...
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