Corpus ID: 1963904

Reinforcement Learning with Perceptual Aliasing: The Perceptual Distinctions Approach

@inproceedings{Chrisman1992ReinforcementLW,
  title={Reinforcement Learning with Perceptual Aliasing: The Perceptual Distinctions Approach},
  author={L. Chrisman},
  booktitle={AAAI},
  year={1992}
}
  • L. Chrisman
  • Published in AAAI 1992
  • Computer Science
  • It is known that Perceptual Aliasing may significantly diminish the effectiveness of reinforcement learning algorithms [Whitehead and Ballard, 1991. [...] Key Method An additional component, a predictive model, is utilized to track aspects of the world that may not be visible at all times. In addition to the control policy, the model must also be learned, and to allow for stochastic actions and noisy perception, a probabilistic model is learned from experience. In the process, the system must discover, on its…Expand Abstract
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