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Oznake: computer science;machine learning;reinforcement learning;robotics
Many machine learning approaches in robotics, based on reinforcement learning, inverse optimal control or direct policy learning, critically rely on robot simulators. This paper investigates a simulatorfree direct policy learning, called Preference-based Policy Learning (PPL). PPL iterates a four-st ...
Leto: 2011 Vir: videolectures.net
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