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Knows What It Knows: A Framework For Self-Aware Learning
This video was recorded at 25th International Conference on Machine Learning (ICML), Helsinki 2008. We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its utility in learning settings where active exploration can impact the training examples the learner is exposed to, as is true in reinforcement-learning and active-learning problems. We catalog several KWIK-learnable classes and list some open problems in this area.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
