TAMER: Training an Agent Manually via Evaluative Reinforcement

@article{Knox2008TAMERTA,
  title={TAMER: Training an Agent Manually via Evaluative Reinforcement},
  author={W. Knox and P. Stone},
  journal={2008 7th IEEE International Conference on Development and Learning},
  year={2008},
  pages={292-297}
}
  • W. Knox, P. Stone
  • Published 2008
  • Computer Science
  • 2008 7th IEEE International Conference on Development and Learning
  • Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is desirable for a human to be able to transmit knowledge to a learning agent as quickly and effortlessly as possible, and, ideally, without any knowledge of the details of the agentpsilas learning process. This paper proposes a general framework called Training an Agent Manually via Evaluative… CONTINUE READING
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