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Oznake: computer science;machine learning;artificial intelligence;medicine;neuroscience;social sciences;economics;technology;engineering;electrical engineering;control engineering;psychology
When scaling up Reinforcement Learning (RL) to large continuous domains with imperfect representations and hierarchical structure, we often try applying algorithm that are proven to converge in small finite domains, and then just hope for the best. This talk will advocate instead designing algorithm ...
Leto: 2015 Vir: videolectures.net
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