Spremljaj
Raghu Rajan
Naslov
Navedeno
Navedeno
Leto
On the importance of hyperparameter optimization for model-based reinforcement learning
B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ...
International Conference on Artificial Intelligence and Statistics, 4015-4023, 2021
1362021
Automated reinforcement learning (autorl): A survey and open problems
J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ...
Journal of Artificial Intelligence Research 74, 517-568, 2022
1102022
Temporl: Learning when to act
A Biedenkapp, R Rajan, F Hutter, M Lindauer
International Conference on Machine Learning, 914-924, 2021
412021
Towards temporl: Learning when to act
A Biedenkapp, R Rajan, F Hutter, M Lindauer
Workshop on Inductive Biases, Invariances and Generalization in …, 2020
102020
MDP Playground: Meta-Features in Reinforcement Learning.
R Rajan, F Hutter
arXiv preprint arXiv:1909.07750, 2019
9*2019
T3VIP: Transformation-based Video Prediction
I Nematollahi, E Rosete-Beas, SMB Azad, R Rajan, F Hutter, W Burgard
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
62022
Dreaming of many worlds: Learning contextual world models aids zero-shot generalization
S Prasanna, K Farid, R Rajan, A Biedenkapp
arXiv preprint arXiv:2403.10967, 2024
42024
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
J Becktepe, J Dierkes, C Benjamins, A Mohan, D Salinas, R Rajan, ...
arXiv preprint arXiv:2409.18827, 2024
2024
One-shot World Models Using a Transformer Trained on a Synthetic Prior
F Ferreira, M Schlageter, R Rajan, A Biedenkapp, F Hutter
arXiv preprint arXiv:2409.14084, 2024
2024
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