Raghu Rajan

Postdoc, Albert-Ludwigs-Universität Freiburg

Joined

September 2019

Names

Raghu Rajan (Preferred)

Emails

****@gmail.com (Confirmed)

****@informatik.uni-freiburg.de (Confirmed)

****@cs.uni-freiburg.de (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

Albert-Ludwigs-Universität Freiburg (uni-freiburg.de)

2024 – Present

PhD student

Universität Freiburg (uni-freiburg.de)

2018 – 2024

MS student

Universität Freiburg (uni-freiburg.de)

2015 – 2018

Advisors, Relations & Conflicts

Postdoc Advisor

Joschka Boedecker

2024 – Present

Coauthor

Roberto Calandra

2019 – Present

PhD Advisor

Frank Hutter

2018 – 2024

Expertise

Reinforcement Learning

Machine Learning

Artificial Intelligence

AutoRL

Automated Reinforcement Learning

2015 – Present

Publications

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
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
- Accepted by DMLR
- 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
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- ICLR 2025 Conference Withdrawn Submission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
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
- EWRL17
- Readers: Everyone
Dreaming of Many Worlds: Learning Contextual World Models aids Zero-Shot Generalization
Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp
- RLC 2024
- Readers: Everyone
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Raghu Rajan, Jack Parker-Holder, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
- AutoML 2023 (Journal Track)
- Readers: Everyone
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
- 24 Aug 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 12 publications

Co-Authors

View all 26 co-authors