Margarita Paz Castro
Margarita Paz Castro
Ph.D. Candidate, Industrial Engineering, University of Toronto
Verified email at - Homepage
Cited by
Cited by
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, 15523-15534, 2019
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
Training binarized neural networks using MIP and CP
RT Icarte, L Illanes, MP Castro, AA Cire, SA McIlraith, JC Beck
International Conference on Principles and Practice of Constraint …, 2019
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
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
Relaxed decision diagrams for cost-optimal classical planning
MP Castro, C Piacentini, AA Cire, JC Beck
Workshop HSDIP, ICAPS, 50-58, 2018
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
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
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 (3), 335-354, 2018
Solving delete free planning with relaxed decision diagram based heuristics
MP Castro, C Piacentini, AA Ciré, JC Beck
Journal of Artificial Intelligence Research 67, 607-651, 2020
LM-Cut and Operator Counting Heuristics for Optimal Numeric Planning with Simple Conditions
R Kuroiwa, A Shleyfman, C Piacentini, MP Castro, JC Beck
Empirical Confidence Models for Supervised Machine Learning
MP Castro, M Sellmann, Z Yang, N Virani
Canadian Conference on Artificial Intelligence, 105-117, 2020
A Combinatorial Cut-and-Lift Procedure with an Application to 0-1 Chance Constraints
MP Castro, AA Cire, JC Beck
arXiv preprint arXiv:2003.06363, 2020
Optimization Methods based on Decision Diagrams for Constraint Programming, AI Planning, and Mathematical Programming
MP Castro
University of Toronto, 2020
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