The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces

@article{Moore1993ThePA,
  title={The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces},
  author={Andrew W. Moore},
  journal={Machine Learning},
  year={1993},
  volume={21},
  pages={199-233}
}
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensional continuous state-spaces. In high dimensions it is essential that neither planning nor exploration occurs uniformly over a state-space. Parti-game maintains a decision-tree partitioning of state-space and applies techniques from game-theory and computational… CONTINUE READING

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