Hierarchical Explanation-Based Reinforcement Learning

  title={Hierarchical Explanation-Based Reinforcement Learning},
  author={Prasad Tadepalli and Thomas G. Dietterich},
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with the generalization ability of Explanation-Based Learning (EBL) (Di-etterich & Flann, 1995). We extend this work to domains where the agent must order and achieve a sequence of subgoals in an optimal fashion. Hierarchical EBRL can eeectively learn optimal policies in some of these sequential task domains even when the… CONTINUE READING
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