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André Biedenkapp
Emmy Noether Group Lead, Karlsruher Institut für Technologie
Postdoc, University of Freiburg, Albert-Ludwigs-Universität Freiburg
Joined
July 2019
Names
André Biedenkapp
(Preferred)
,
Andre Biedenkapp
Emails
****@cs.uni-freiburg.de
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Emmy Noether Group Lead
Karlsruher Institut für Technologie
(kit.edu)
2026
–
Present
Postdoc
University of Freiburg, Albert-Ludwigs-Universität Freiburg
(cs.uni-freiburg.de)
2022
–
2026
PhD student
University of Freiburg, Universität Freiburg
(cs.uni-freiburg.de)
2017
–
2022
MS student
University of Freiburg, Universität Freiburg
(cs.uni-freiburg.de)
2014
–
2017
Advisors, Relations & Conflicts
PhD Advisor
Frank Hutter
2017
–
2022
PhD Advisor
Marius Lindauer
2017
–
2022
Expertise
Meta Reinforcement Learning
2022
–
Present
Contextual Reinforcement Learning
2020
–
Present
AutoRL
2019
–
Present
Reinforcement Learning
2017
–
Present
Learning to learn
2017
–
Present
AutoML
2017
–
Present
Dynamic Algorithm Configuration
2017
–
Present
Publications
PLASDecoupledCVAE: A Decoupled and Adaptive CVAE Framework for Offline Reinforcement Learning
M Asif Hasan
,
André Biedenkapp
,
Noor Awad
ALA 2026
Readers:
Everyone
Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL
Aditya Mohan
,
Theresa Eimer
,
Carolin Benjamins
,
Marius Lindauer
,
André Biedenkapp
EWRL 2025 Poster
Readers:
Everyone
One Does Not Simply Estimate State: Comparing Model-based and Model-free Reinforcement Learning on the Partially Observable MordorHike Benchmark
Sai Prasanna
,
André Biedenkapp
,
Raghu Rajan
EWRL 2025 Poster
Readers:
Everyone
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA
Tai Nguyen
,
Phong Le
,
André Biedenkapp
,
Carola Doerr
,
Nguyen Dang
CoRR 2025
Readers:
Everyone
Meta-learning Population-based Methods for Reinforcement Learning
Johannes Hog
,
Raghu Rajan
,
André Biedenkapp
,
Noor Awad
,
Frank Hutter
,
Vu Nguyen
Accepted by TMLR
Readers:
Everyone
Efficient Cross-Episode Meta-RL
Gresa Shala
,
André Biedenkapp
,
Pierre Krack
,
Florian Walter
,
Josif Grabocka
ICLR 2025 Poster
Readers:
Everyone
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
,
Moreno Schlageter
,
Raghu Rajan
,
André Biedenkapp
,
Frank Hutter
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Fabio Ferreira
,
Moreno Schlageter
,
Raghu Rajan
,
André Biedenkapp
,
Frank Hutter
NeurIPS 2024 Workshop Open-World Agents Poster
Readers:
Everyone
Dreaming of Many Worlds: Learning Contextual World Models aids Zero-Shot Generalization
Sai Prasanna
,
Karim Farid
,
Raghu Rajan
,
André Biedenkapp
EWRL17
Readers:
Everyone
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
Tidiane CAMARET NDIR
,
André Biedenkapp
,
Noor Awad
EWRL17
Readers:
Everyone
View all 71 publications
Co-Authors
Aditya Mohan
Aleksandra Faust
Baohe Zhang
Bodo Rosenhahn
Carola Doerr
Carolin Benjamins
Chris Fawcett
David Speck
Diederick Vermetten
Difan Deng
Eddie Bergman
Edward Bergman
Fabio Ferreira
Florian Walter
Frank Hutter
Frederik Schubert
Gregor Koehler
Gregor Köhler
Gresa Shala
Guilherme Miotto
H. Furkan Bozkurt
Hao Wang
Holger H. Hoos
Jack Parker-Holder
Jan Ole von Hartz
View all 76 co-authors