Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels

The ability to plan at many different levels of abstraction enables agents to envision the long-term repercussions of their decisions and thus enables sample-efficient learning. This becomes particularly beneficial in complex environments from high-dimensional state space such as pixels, where the g...

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Veröffentlicht in:arXiv.org 2023-10
Hauptverfasser: Jiralerspong, Thomas, Kondrup, Flemming, Precup, Doina, Khetarpal, Khimya
Format: Artikel
Sprache:eng
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