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ORCIDRaghu Rajan
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2020 – today
- 2024
[j3]Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp:
Dreaming of Many Worlds: Learning Contextual World Models aids Zero-Shot Generalization. RLJ 3: 1317-1350 (2024)- [i8]Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp:
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization. CoRR abs/2403.10967 (2024) - [i7]Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter:
One-shot World Models Using a Transformer Trained on a Synthetic Prior. CoRR abs/2409.14084 (2024) - [i6]Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer:
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR abs/2409.18827 (2024) - 2023
- [j2]Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp
, Jan Ole von Hartz, Frank Hutter:
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. J. Artif. Intell. Res. 77: 821-890 (2023) - 2022
- [j1]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:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74: 517-568 (2022) - [c3]Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard:
T3VIP: Transformation-based 3D Video Prediction. IROS 2022: 4174-4181 - [i5]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:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR abs/2201.03916 (2022) - [i4]Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard:
T3VIP: Transformation-based 3D Video Prediction. CoRR abs/2209.11693 (2022) - 2021
- [c2]Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra:
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS 2021: 4015-4023 - [c1]André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer:
TempoRL: Learning When to Act. ICML 2021: 914-924 - [i3]Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra:
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR abs/2102.13651 (2021) - [i2]André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer:
TempoRL: Learning When to Act. CoRR abs/2106.05262 (2021)
2010 – 2019
- 2019
- [i1]Raghu Rajan, Frank Hutter:
!MDP Playground: Meta-Features in Reinforcement Learning. CoRR abs/1909.07750 (2019)
Coauthor Index
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