h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

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

; ; ;

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)

Restricted:
Download fulltext PDF

Dokumenttyp
Poster

Herkunft
Public Reference

Sprache
English

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

Beteiligte Länder
Germany

 GO

QR Code for this record

The record appears in these collections:
Document types > Presentations > Posters
Public Reference
User submitted records
Public records
422610
 Record created 2026-03-02, last modified 2026-04-22
Similar records


Restricted:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)