Autonomous Hierarchical Skill Acquisition in Factored MDPs

  title={Autonomous Hierarchical Skill Acquisition in Factored MDPs},
  author={Christopher M. Vigorito and Andrew G. Barto},
Learning hierarchies of reusable skills is essential for efficiently solving multiple tasks in a given domain. Understanding the causal relationships between one’s actions and various dimensions of one’s environment can facilitate learning of abstract skills that may be used subsequently in related tasks. Using Bayesian network structure-learning techniques and structured dynamic programming algorithms, we show that reinforcement learning agents can learn incrementally and autonomously both the… CONTINUE READING
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