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Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez
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Oznake: computer science;decision support;machine learning;on-line learning
Bayesian model-based reinforcement learning is a formally elegant approach to learning optimal behaviour under model uncertainty, trading off exploration and exploitation in an ideal way. Unfortunately, finding the resulting Bayes-optimal policies is notoriously taxing, since the search space become ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 1
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