Exploring the limits of Hierarchical World Models in Reinforcement Learning

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@article{e85e9a36c63b4f4d99a0ab929b8f8b3e,

title = "Exploring the limits of Hierarchical World Models in Reinforcement Learning",

author = "Robin Schiewer and Anand Subramoney and Laurenz Wiskott",

year = "2024",

month = nov,

day = "6",

doi = "10.1038/s41598-024-76719-w",

language = "English",

volume = "14",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Research",

}

TY - JOUR

T1 - Exploring the limits of Hierarchical World Models in Reinforcement Learning

AU - Schiewer, Robin

AU - Subramoney, Anand

AU - Wiskott, Laurenz

PY - 2024/11/6

Y1 - 2024/11/6

UR - https://arxiv.org/abs/2406.00483

U2 - 10.1038/s41598-024-76719-w

DO - 10.1038/s41598-024-76719-w

M3 - Article

SN - 2045-2322

VL - 14

JO - Scientific Reports

JF - Scientific Reports

M1 - 26856

ER -