Luis Pineda
Luis Pineda
Research Engineer, Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
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
Active MR k-space Sampling with Reinforcement Learning
L Pineda, S Basu, A Romero, R Calandra, M Drozdzal
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Theseus: A library for differentiable nonlinear optimization
L Pineda, T Fan, M Monge, S Venkataraman, P Sodhi, RTQ Chen, J Ortiz, ...
Advances in Neural Information Processing Systems 35, 3801-3818, 2022
Off-belief learning
H Hu, A Lerer, B Cui, L Pineda, N Brown, J Foerster
International Conference on Machine Learning, 4369-4379, 2021
Learning causal state representations of partially observable environments
A Zhang, ZC Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, ...
arXiv preprint arXiv:1906.10437, 2019
Mbrl-lib: A modular library for model-based reinforcement learning
L Pineda, B Amos, A Zhang, NO Lambert, R Calandra
arXiv preprint arXiv:2104.10159, 2021
Hierarchical approach to transfer of control in semi-autonomous systems
KH Wray, L Pineda, S Zilberstein
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
On the evaluation of conditional GANs
T DeVries, A Romero, L Pineda, GW Taylor, M Drozdzal
arXiv preprint arXiv:1907.08175, 2019
Equi-reward utility maximizing design in stochastic environments
S Keren, L Pineda, A Gal, E Karpas, S Zilberstein
HSDIP 2017, 19, 2017
Planning Under Uncertainty Using Reduced Models: Revisiting Determinization.
LE Pineda, S Zilberstein
Proceedings of the Twenty-Fourth International Conference on Automated …, 2014
K-level reasoning for zero-shot coordination in hanabi
B Cui, H Hu, L Pineda, J Foerster
Advances in Neural Information Processing Systems 34, 8215-8228, 2021
Active 3D shape reconstruction from vision and touch
E Smith, D Meger, L Pineda, R Calandra, J Malik, A Romero Soriano, ...
Advances in Neural Information Processing Systems 34, 16064-16078, 2021
Fault-Tolerant Planning under Uncertainty
L Pineda, Y Lu, S Zilberstein, CV Goldman
International Joint Conference on Artificial Intelligence, 2013
Continual planning for search and rescue robots
L Pineda, T Takahashi, HT Jung, S Zilberstein, R Grupen
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
Fast SSP Solvers Using Short-Sighted Labeling
L Pineda, KH Wray, S Zilberstein
Thirty-First AAAI Conference on Artificial Intelligence, 2017, 2017
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
T Bakker, M Muckley, A Romero-Soriano, M Drozdzal, L Pineda
International Conference on Medical Imaging with Deep Learning, 63-85, 2022
Elucidating image-to-set prediction: An analysis of models, losses and datasets
L Pineda, A Salvador, M Drozdzal, A Romero
arXiv preprint arXiv:1904.05709, 2019
Efficient heuristic search for optimal environment redesign
S Keren, L Pineda, A Gal, E Karpas, S Zilberstein
Proceedings of the International Conference on Automated Planning and …, 2019
Revisiting multi-objective MDPs with relaxed lexicographic preferences
LE Pineda, KH Wray, S Zilberstein
2015 AAAI Fall Symposium Series, 2015
Planning in stochastic environments with goal uncertainty
S Saisubramanian, KH Wray, L Pineda, S Zilberstein
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20