Raghu Rajan
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Towards temporl: Learning when to act
A Biedenkapp, R Rajan, F Hutter, M Lindauer
Workshop on Inductive Biases, Invariances and Generalization in …, 2020
62020
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
52021
MDP Playground: A Design and Debug Testbed for Reinforcement Learning
R Rajan, JLB Diaz, S Guttikonda, F Ferreira, A Biedenkapp, JO von Hartz, ...
arXiv preprint arXiv:1909.07750, 2019
12019
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning
R Rajan, JLB Diaz, S Guttikonda, F Ferreira, A Biedenkapp, JO von Hartz, ...
2021
TempoRL: Learning When to Act
A Biedenkapp, R Rajan, F Hutter, M Lindauer
arXiv preprint arXiv:2106.05262, 2021
2021
MDP Playground: Controlling Orthogonal Dimensions of Hardness in Toy Environments
R Rajan, JLB Diaz, S Guttikonda, F Ferreira, A Biedenkapp, F Hutter
2020
! MDP Playground: Meta-Features in Reinforcement Learning.
R Rajan, F Hutter
arXiv preprint arXiv:1909.07750, 2019
2019
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