Raghu Rajan - RankMe

18 papers A* 1A 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. J. Data-centric Mach. Learn. Res. Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
2026	J	`jnl`	Don't double it: Efficient Agent Prediction in Occlusions. CoRR Anna Rothenhäusler, Markus Mazzola, Andreas Look, Raghu Rajan, Joschka Bödecker
2025	J	`jnl`	Meta-learning Population-based Methods for Reinforcement Learning. Trans. Mach. Learn. Res. Johannes Hog, Raghu Rajan, André Biedenkapp, Noor H. Awad, Frank Hutter, Vu Nguyen
2025	J	`jnl`	Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving. CoRR Aron Distelzweig, Faris Janjos, Oliver Scheel, Sirish Reddy Varra, Raghu Rajan, Joschka Boedecker
2024	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer
2024	J	`jnl`	Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization. CoRR Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp
2024	J	`jnl`	Dreaming of Many Worlds: Learning Contextual World Models aids Zero-Shot Generalization. RLJ Sai Prasanna, Karim Farid, Raghu Rajan, André Biedenkapp
2024	J	`jnl`	One-shot World Models Using a Transformer Trained on a Synthetic Prior. CoRR Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter
2023	J	`jnl`	MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. J. Artif. Intell. Res. Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR 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
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 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
2022	A	`conf`	T3VIP: Transformation-based 3D Video Prediction. IROS Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard
2022	J	`jnl`	T3VIP: Transformation-based 3D Video Prediction. CoRR Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard
2021	A	`conf`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	J	`jnl`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	A*	`conf`	TempoRL: Learning When to Act. ICML André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
2021	J	`jnl`	TempoRL: Learning When to Act. CoRR André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
2019	J	`jnl`	!MDP Playground: Meta-Features in Reinforcement Learning. CoRR Raghu Rajan, Frank Hutter