• Corpus ID: 10405371

Predictive State Temporal Difference Learning

@inproceedings{Boots2010PredictiveST,
  title={Predictive State Temporal Difference Learning},
  author={Byron Boots and Geoffrey J. Gordon},
  booktitle={NIPS},
  year={2010}
}
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications, reinforcement learning (RL) is complicated by the fact that state is either high-dimensional or partially observable. Therefore, RL methods are designed to work with features of state rather than state itself, and the success or failure of learning is often determined by the suitability of the selected features. By… 

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