追蹤
Marc Höftmann
Marc Höftmann
Technische Universität Dortmund
在 tu-dortmund.de 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Transformer-based world models are happy with 100k interactions
J Robine, M Höftmann, T Uelwer, S Harmeling
arXiv preprint arXiv:2303.07109, 2023
292023
Time-myopic go-explore: Learning a state representation for the go-explore paradigm
M Höftmann, J Robine, S Harmeling
arXiv preprint arXiv:2301.05635, 2023
32023
A survey on self-supervised representation learning
T Uelwer, J Robine, SS Wagner, M Höftmann, E Upschulte, S Konietzny, ...
arXiv preprint arXiv:2308.11455, 2023
22023
Backward Learning for Goal-Conditioned Policies
M Höftmann, J Robine, S Harmeling
arXiv preprint arXiv:2312.05044, 2023
2023
A Simple Framework for Self-Supervised Learning of Sample-Efficient World Models
J Robine, M Höftmann, S Harmeling
Dyna 31 (16), 17-18, 0
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