acrobot
cf9a242b70f45317ffd281241fa66502-AuthorFeedback.pdf
We thank the reviewers for their close reading of the paper and helpful feedback. Forexample, one can use thedensity ratio estimates7 provided by DualDICE to modify (importance-weight) the off-policy data distribution before passing it to a policy8 gradient orQ-learning method. The figures are overall too small... In Figure 2 the x axis label is missing. The x-axis is training step.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Unsupervised or Indirectly Supervised Learning (0.40)
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control (Supplementary Material)
Here we summarize all our model assumptions and highlight what are learned from data.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Unsupervised or Indirectly Supervised Learning (0.40)
over the local
We provide a visual overview of all eight environments considered in Figure 7. CartPole