Exploiting First-Order Regression in Inductive Policy Selection

  title={Exploiting First-Order Regression in Inductive Policy Selection},
  author={Charles Gretton and Sylvie Thi{\'e}baux},
We consider the problem of computing optimal generalised policies for relational Markov decision processes. We describe an approach combining some of the benefits of purely inductive techniques with those of symbolic dynamic programming methods. The latter reason about the optimal value function using first-order decisiontheoretic regression and formula rewriting, while the former, when provided with a suitable hypotheses language, are capable of generalising value functions or policies for… CONTINUE READING
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