Luis Pineda
Luis Pineda
Research Engineer, Facebook AI Research
Verified email at - Homepage
Cited by
Cited by
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
Planning Under Uncertainty Using Reduced Models: Revisiting Determinization.
LE Pineda, S Zilberstein
Proceedings of the Twenty-Fourth International Conference on Automated …, 2014
Equi-reward utility maximizing design in stochastic environments
S Keren, L Pineda, A Gal, E Karpas, S Zilberstein
HSDIP 2017, 19, 2017
Fault-Tolerant Planning under Uncertainty
L Pineda, Y Lu, S Zilberstein, CV Goldman
International Joint Conference on Artificial Intelligence, 2013
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
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
On the evaluation of conditional gans
T DeVries, A Romero, L Pineda, GW Taylor, M Drozdzal
arXiv preprint arXiv:1907.08175, 2019
Fast SSP Solvers Using Short-Sighted Labeling
L Pineda, KH Wray, S Zilberstein
Thirty-First AAAI Conference on Artificial Intelligence, 2017, 2017
Evolving communication in robotic swarms using on-line, on-board, distributed evolutionary algorithms
LE Pineda, AE Eiben, M Van Steen
European Conference on the Applications of Evolutionary Computation, 529-538, 2012
Estimating training data boundaries in surrogate-based modeling
LE Pineda, BJ Fregly, RT Haftka, NV Queipo
Structural and Multidisciplinary Optimization 42 (6), 811-821, 2010
Redesigning stochastic environments for maximized utility
S Keren, A Gal, E Karpas, L Pineda, S Zilberstein
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Active MR k-space Sampling with Reinforcement Learning
L Pineda, S Basu, A Romero, R Calandra, M Drozdzal
International Conference on Medical Image Computing and Computer-Assisted …, 2020
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
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
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
Generalizing the role of determinization in probabilistic planning
L Pineda, S Zilberstein
arXiv preprint arXiv:1705.07381, 2017
Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences.
LE Pineda, KH Wray, S Zilberstein
AAAI Fall Symposia, 63-68, 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
Soft Labeling in Stochastic Shortest Path Problems.
LE Pineda, S Zilberstein
AAMAS, 467-475, 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
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