| 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 | 137* | 2023 |
| 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 | 31 | 2020 |
| 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 | 28 | 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 | 24 | 2018 |
| 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 | 22 | 2022 |
| 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 | 22 | 2018 |
| 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 | 13 | 2021 |
| 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 | 10 | 2023 |
| 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 | 9 | 2022 |
| 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 | 8 | 2020 |
| 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 | 7 | 2022 |
| 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 | 7 | 2018 |
| Relaxed decision diagrams for cost-optimal classical planning MP Castro, C Piacentini, AA Cire, JC Beck Workshop HSDIP, ICAPS, 50-58, 2018 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 | 6 | 2019 |
| 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 | 2 | 2022 |
| Optimal cleaning scheduling for large photovoltaic portfolios I Astete, M Castro, Á Lorca, M Negrete-Pincetic Applied Energy 372, 123760, 2024 | | 2024 |
| Incorporating Service Reliability in Multi-depot Vehicle Scheduling MP Castro, M Bodur, A Shalaby arXiv preprint arXiv:2407.00836, 2024 | | 2024 |
| 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 |
J. Christopher BeckProfessor of Mechanical and Industrial Engineering, University of Toronto在 mie.utoronto.ca 的电子邮件经过验证
