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SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.

arXiv: Learning, (2018)

被引用4|浏览72
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Model-based reinforcement learning (RL) methods can be broadly categorized as global model methods, which depend on learning models that provide sensible predictions in a wide range of states, or local model methods, which iteratively refit simple models that are used for policy improvement. While predicting future states that will result...更多

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Sharad Vikram
Sharad Vikram
Matthew J. Johnson
Matthew J. Johnson
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