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Publikationen

Zeige Ergebnisse 1371 bis 1380 von 14517.

  1. David Antony Selby; Kai Spriestersbach; Yuichiro Iwashita; Dennis Bappert; Archana Warrier; Sumantrak Mukherjee; Muhammad Nabeel Asim; Koichi Kise; Sebastian Vollmer

    Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models

    In: NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. Neural Information Processing Systems (NeurIPS-2024), Workshop on Bayesian Decision-making and Uncertainty, located at NeuIPS-2024, December 14, Vancouver, BC, Canada, NeurIps Foundation, 2024.

  2. Daniel Palenicek; Michael Lutter; Jo~ao Carvalho; Daniel Dennert; Faran Ahmad; Jan Peters

    Diminishing Return of Value Expansion Methods

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.20537, Pages 1-21, arXiv, 2024.

  3. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.19948, Pages 1-21, arXiv, 2024.

  4. Haoran Ding; Noémie Jaquier; Jan Peters; Leonel Rozo

    Fast and Robust Visuomotor Riemannian Flow Matching Policy

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.10855, Pages 1-17, arXiv, 2024.

  5. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

  6. Christian Möller; Niklas Funk; Jan Peters

    Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.00835, Pages 1-13, arXiv, 2024.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

  8. Junning Huang; Davide Tateo; Puze Liu; Jan Peters

    Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.05054, Pages 1-8, arXiv, 2024.

  9. Dominik Straub; Tobias F. Niehues; Jan Peters; Constantin A. Rothkopf

    Inverse decision-making using neural amortized Bayesian actors

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.03710, Pages 1-22, arXiv, 2024.

  10. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An T. Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.09840, Pages 1-61, arXiv, 2024.

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