Rajan, Raghu

6 publications

TMLR 2025 Meta-Learning Population-Based Methods for Reinforcement Learning Johannes Hog, Raghu Rajan, André Biedenkapp, Noor Awad, Frank Hutter, Vu Nguyen

NeurIPSW 2024 One-Shot World Models Using a Transformer Trained on a Synthetic Prior Fabio Ferreira, Moreno Schlageter, Raghu Rajan, André Biedenkapp, Frank Hutter

JAIR 2023 MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter

JAIR 2022 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

AISTATS 2021 On the Importance of Hyperparameter Optimization for Model-Based Reinforcement Learning Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

ICML 2021 TempoRL: Learning When to Act André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer