Margarita P. Castro

Learning Reward Machines for Partially Observable Reinforcement Learning

Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen et al. · Neural Information Processing Systems · 2019 · 67 citations

Computing, Computer Science, Artificial Intelligence +10

Optimization-based expansion planning for power and hydrogen systems with feedback from a unit commitment model

Lucas Maulén, Margarita P. Castro, Álvaro Lorca et al. · Applied Energy · 2023 · 29 citations

Engineering, Industrial Engineering, Energy Economics +15

Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning

Chiara Piacentini, Margarita P. Castro, André A. Ciré et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 22 citations · Full text

Business, Mathematics, Algorithms +13

Decision Diagrams for Discrete Optimization: A Survey of Recent Advances

Margarita P. Castro, André A. Ciré, J. Christopher Beck · INFORMS journal on computing · 2022 · 22 citations

Natural Sciences, Mathematics, Diagramming +10

Compiling Optimal Numeric Planning to Mixed Integer Linear Programming

Chiara Piacentini, Margarita P. Castro, André A. Ciré et al. · Proceedings of the International Conference on Automated Planning and Scheduling · 2018 · 18 citations · Full text

Natural Sciences, Mathematics, Compilers +16