Associative reinforcement learning: A generate and test algorithm

@article{Kaelbling2004AssociativeRL,
  title={Associative reinforcement learning: A generate and test algorithm},
  author={Leslie Pack Kaelbling},
  journal={Machine Learning},
  year={2004},
  volume={15},
  pages={299-319}
}
An agent that must learn to act in the world by trial and error faces thereinforcement learning problem, which is quite different from standard concept learning. Although good algorithms exist for this problem in the general case, they are often quite inefficient and do not exhibit generalization. One strategy is to find restricted classes of action policies that can be learned more efficiently. This paper pursues that strategy by developing an algorithm that performans an on-line search… CONTINUE READING
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