2024
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Ferreira, Fabio; Schlageter, Moreno; Rajan, Raghu; Biedenkapp, André; Hutter, Frank One-shot World Models Using a Transformer Trained on a Synthetic Prior Inproceedings In: NeurIPS 2024 Workshop on Open-World Agents, 2024. @inproceedings{ferreira-arxiv24a,
title = {One-shot World Models Using a Transformer Trained on a Synthetic Prior},
author = {Fabio Ferreira and Moreno Schlageter and Raghu Rajan and André Biedenkapp and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Open-World Agents},
journal = {arXiv:2409.14084 [cs.LG]},
keywords = {}
}
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Prasanna, Sai; Farid, Karim; Rajan, Raghu; Biedenkapp, André Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Journal Article In: Reinforcement Learning Journal, vol. 3, iss. 1, no. 1, pp. 1317–1350, 2024, ISBN: 979-8-218-41163-3. @article{prasanna-rlc24a,
title = {Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization},
author = {Sai Prasanna and Karim Farid and Raghu Rajan and André Biedenkapp},
year = {2024},
isbn = {979-8-218-41163-3},
booktitle = {Proceedings of the First Reinforcement Learning Conference (RLC’24)},
journal = {Reinforcement Learning Journal},
volume = {3},
number = {1},
pages = {1317–1350},
keywords = {}
}
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2023
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Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 77, pp. 821-890, 2023. @article{rajan-jair23,
title = {MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
doi = {10.1613/jair.1.14314},
year = {2023},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {77},
pages = {821-890},
keywords = {}
}
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2022
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Nematollahi, Iman; Rosete-Beas, Erick; Azad, Seyed Mahdi B; Rajan, Raghu; Hutter, Frank; Burgard, Wolfram T3VIP: Transformation-based 3D Video Prediction Inproceedings In: IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS), 2022. @inproceedings{nematollahi_t3vip-iros22,
title = {T3VIP: Transformation-based 3D Video Prediction},
author = {Nematollahi, Iman and Rosete-Beas, Erick and Azad, Seyed Mahdi B and Rajan, Raghu and Hutter, Frank and Burgard, Wolfram},
year = {2022},
booktitle = {IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS)},
keywords = {}
}
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Parker-Holder, Jack; Rajan, Raghu; Song, Xingyou; Biedenkapp, André; Miao, Yingjie; Eimer, Theresa; Zhang, Baohe; Nguyen, Vu; Calandra, Roberto; Faust, Aleksandra; Hutter, Frank; Lindauer, Marius Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Journal Article In: Journal of Artificial Intelligence Research (JAIR), vol. 74, pp. 517-568, 2022. @article{parker-holder-jair22a,
title = {Automated Reinforcement Learning (AutoRL): A Survey and Open Problems},
author = {Jack Parker-Holder and Raghu Rajan and Xingyou Song and André Biedenkapp and Yingjie Miao and Theresa Eimer and Baohe Zhang and Vu Nguyen and Roberto Calandra and Aleksandra Faust and Frank Hutter and Marius Lindauer},
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {74},
pages = {517-568},
keywords = {}
}
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2021
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Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius TempoRL: Learning When to Act Inproceedings In: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), 2021. @inproceedings{biedenkapp-icml21,
title = {TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2021},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML 2021)},
keywords = {}
}
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Rajan, Raghu; Diaz, Jessica Lizeth Borja; Guttikonda, Suresh; Ferreira, Fabio; Biedenkapp, André; von Hartz, Jan Ole; Hutter, Frank MDP Playground: A Design and Debug Testbed for Reinforcement Learning Inproceedings In: arXiv:1909.07750, 2021. @inproceedings{rajan-arxiv21,
title = {MDP Playground: A Design and Debug Testbed for Reinforcement Learning},
author = {Raghu Rajan and Jessica Lizeth Borja Diaz and Suresh Guttikonda and Fabio Ferreira and André Biedenkapp and Jan Ole von Hartz and Frank Hutter},
year = {2021},
booktitle = {arXiv:1909.07750},
journal = {arXiv:1909.07750v4 [cs.LG]},
keywords = {}
}
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Zhang, Baohe; Rajan, Raghu; Pineda, Luis; Lambert, Nathan; Biedenkapp, André; Chua, Kurtland; Hutter, Frank; Calandra, Roberto On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Inproceedings In: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21, 2021. @inproceedings{zhang-aistats21,
title = {On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning},
author = {Baohe Zhang and Raghu Rajan and Luis Pineda and Nathan Lambert and André Biedenkapp and Kurtland Chua and Frank Hutter and Roberto Calandra},
year = {2021},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)'21},
keywords = {}
}
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2020
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Biedenkapp, André; Rajan, Raghu; Hutter, Frank; Lindauer, Marius Towards TempoRL: Learning When to Act Inproceedings In: Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20), 2020. @inproceedings{biedenkapp-bigicml20,
title = {Towards TempoRL: Learning When to Act},
author = {André Biedenkapp and Raghu Rajan and Frank Hutter and Marius Lindauer},
year = {2020},
booktitle = {Workshop on Inductive Biases, Invariances and Generalization in RL (BIG@ICML'20)},
keywords = {}
}
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2019
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Rajan, Raghu; Hutter, Frank MDP Playground: Meta-Features in Reinforcement Learning Inproceedings In: NeurIPS 2019 Deep RL Workshop, 2019. @inproceedings{rajan-neurips19,
title = {MDP Playground: Meta-Features in Reinforcement Learning},
author = {Raghu Rajan and Frank Hutter},
year = {2019},
booktitle = {NeurIPS 2019 Deep RL Workshop},
keywords = {}
}
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