Learning From Explanations Using Sentiment and Advice in RL

  title={Learning From Explanations Using Sentiment and Advice in RL},
  author={Samantha Krening and Brent Harrison and Karen M. Feigh and Charles Lee Isbell and Mark O. Riedl and Andrea Lockerd Thomaz},
  journal={IEEE Transactions on Cognitive and Developmental Systems},
In order for robots to learn from people with no machine learning expertise, robots should learn from natural human instruction. Most machine learning techniques that incorporate explanations require people to use a limited vocabulary and provide state information, even if it is not intuitive. This paper discusses a software agent that learned to play the Mario Bros. game using explanations. Our goals to improve learning from explanations were twofold: 1) to filter explanations into advice and… CONTINUE READING
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