Improving Exploration in Reinforcement Learning through Domain Knowledge and Parameter Analysis

@inproceedings{RZE2010ImprovingEI,
  title={Improving Exploration in Reinforcement Learning through Domain Knowledge and Parameter Analysis},
  author={M AREK G RZEŚ},
  year={2010}
}
  • M AREK G RZEŚ
  • Published 2010
This thesis presents novel work on how to improve exploration in reinforcement learning using domain knowledge and knowledge-based approaches to reinforcement learning. It also identifies novel relationships between the algorithms’ and domains’ parameters and the exploration efficiency. The goal of solving reinforcement learning problems is to learn how to execute actions in order to maximise the long term reward. Solving this type of problems is a hard task when real domains of realistic size… CONTINUE READING
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