Least-Squares Methods in Reinforcement Learning for Control

@inproceedings{Lagoudakis2002LeastSquaresMI,
  title={Least-Squares Methods in Reinforcement Learning for Control},
  author={Michail G. Lagoudakis and Ronald Parr and Michael L. Littman},
  booktitle={SETN},
  year={2002}
}
Least-squares methods have been successfully used for prediction problems in the context of reinforcement learning, but little has been done in extending these methods to control problems. This paper presents an overview of our research efforts in using least-squares techniques for control. In our early attempts, we considered a direct extension of the Least-Squares Temporal Difference (LSTD) algorithm in the spirit of Q-learning. Later, an effort to remedy some limitations of this algorithm… CONTINUE READING
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