Reinforcement Learning for Parameter Control of Image-Based Applications

@inproceedings{TaylorReinforcementLF,
  title={Reinforcement Learning for Parameter Control of Image-Based Applications},
  author={Graham W. Taylor}
}
The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. In this thesis, we examine a particular area in which these difficulties are experienced. We attempt to control the parameters of a multi-step algorithm that processes visual information. A framework for approaching the parameter selection problem using reinforcement learning… CONTINUE READING