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Infoprop: Precise Long-Horizon Planning With Accumulated Uncertainty Quantification Using Learned Dynamics Models

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Konferenz/Event:1. German Robotics Conference , Nürnberg , Germany , GRC , 2025-03-13 - 2025-03-15

Online
URL: https://publications.rwth-aachen.de/record/1029691/files/1029691.pdf

Projekte

  1. OPSF854 - Mathematical and Practical Properties of Policy-Based Reinforcement Learning (EXS-SF-OPSF854) (EXS-SF-OPSF854)
  2. ERS Seed Fund - Exploratory Research Space: Seed Fund (2) als Anschubfinanzierung zur Erforschung neuer interdisziplinärer Ideen (EXS-SF) (EXS-SF)
  3. EXS - Excellence Strategy (EXS) (EXS)

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Dokumenttyp
Poster

Herkunft
Public Reference

Sprache
English

Interne Identnummern
RWTH-2026-02511
Datensatz-ID: 1029691

Beteiligte Länder
Germany

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 Record created 2026-03-02, last modified 2026-04-22


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