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Knows what it knows: a framework for self-aware learning
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AI
DOI：10.1007/s10994-010-5225-4.png)
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摘要
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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 as well as open problems, and demonstrate their applications in experience-efficient reinforcement learning.
Keyword:
Reinforcement learning
Knows What It Knows (KWIK)
Probably Approximately Correct (PAC)
Mistake bound
Computational learning theory
Exploration
Active learning
期刊
IF:
2.9
论文数:
2.7K
被引数:
3.4W
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