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Margarita Paz Castro
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Year
Learning reward machines for partially observable reinforcement learning
R Toro Icarte, E Waldie, T Klassen, R Valenzano, M Castro, S McIlraith
Advances in neural information processing systems 32, 2019
1242019
An MDD-based Lagrangian approach to the multicommodity pickup-and-delivery TSP
MP Castro, AA Cire, JC Beck
INFORMS Journal on Computing 32 (2), 263-278, 2020
302020
Training binarized neural networks using MIP and CP
R Toro Icarte, L Illanes, MP Castro, AA Cire, SA McIlraith, JC Beck
Principles and Practice of Constraint Programming: 25th International …, 2019
272019
Compiling optimal numeric planning to mixed integer linear programming
C Piacentini, M Castro, A Cire, JC Beck
Proceedings of the International Conference on Automated Planning and …, 2018
212018
Linear and integer programming-based heuristics for cost-optimal numeric planning
C Piacentini, M Castro, A Cire, JC Beck
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
212018
Decision diagrams for discrete optimization: A survey of recent advances
MP Castro, AA Cire, JC Beck
INFORMS Journal on Computing 34 (4), 2271-2295, 2022
192022
LM-cut and operator counting heuristics for optimal numeric planning with simple conditions
R Kuroiwa, A Shleyfman, C Piacentini, MP Castro, JC Beck
Proceedings of the International Conference on Automated Planning and …, 2021
122021
Solving delete free planning with relaxed decision diagram based heuristics
MP Castro, C Piacentini, AA Cire, JC Beck
Journal of Artificial Intelligence Research 67, 607-651, 2020
82020
Learning reward machines: A study in partially observable reinforcement learning
R Toro Icarte, E Waldie, TQ Klassen, R Valenzano, MP Castro, ...
Artificial Intelligence, https://doi.org/10.1016/j.artint.2023.10, 2023
7*2023
Optimization-based expansion planning for power and hydrogen systems with feedback from a unit commitment model
L Maulén, M Castro, Á Lorca, M Negrete-Pincetic
Applied Energy 343, 121207, 2023
72023
The LM-cut heuristic family for optimal numeric planning with simple conditions
R Kuroiwa, A Shleyfman, C Piacentini, MP Castro, JC Beck
Journal of Artificial Intelligence Research 75, 1477-1548, 2022
72022
Intruder alert! Optimization models for solving the mobile robot graph-clear problem
M Morin, MP Castro, KEC Booth, TT Tran, C Liu, JC Beck
Constraints 23, 335-354, 2018
72018
Relaxed decision diagrams for cost-optimal classical planning
MP Castro, C Piacentini, AA Cire, JC Beck
Workshop HSDIP, ICAPS, 50-58, 2018
72018
A combinatorial cut-and-lift procedure with an application to 0–1 second-order conic programming
MP Castro, AA Cire, JC Beck
Mathematical Programming 196 (1), 115-171, 2022
62022
Searching for Markovian subproblems to address partially observable reinforcement learning
RT Icarte, E Waldie, TQ Klassen, R Valenzano, MP Castro, SA McIlraith
Proceedings of the 4th Multi-disciplinary Conference on Reinforcement …, 2019
62019
Relaxed BDDs: An admissible heuristic for delete-free planning based on a discrete relaxation
MP Castro, C Piacentini, AA Cire, JC Beck
Proceedings of the International Conference on Automated Planning and …, 2019
62019
Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics
MP Castro, M Bodur, Y Song
arXiv preprint arXiv:2207.14779, 2022
22022
Optimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming
MP Castro
University of Toronto (Canada), 2021
2021
Empirical Confidence Models for Supervised Machine Learning
MP Castro, M Sellmann, Z Yang, N Virani
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020
2020
Análisis de output en el largo plazo utilizando métodos de remuestreo bootstrap.
MP Castro Anich
2014
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Articles 1–20