Margarita P. Castro

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Conic Programming

Mixed Integer Linear Programming

Admissible Heuristics

Top Venues

Constraints An Int. J.

J. Artif. Intell. Res.

INFORMS J. Comput.

Publications

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith
Learning reward machines: A study in partially observable reinforcement learning. Artif. Intell. 323 (2023)
Margarita P. Castro
Optimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming. Constraints An Int. J. 28 (3) (2023)
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances. INFORMS J. Comput. 34 (4) (2022)
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
A combinatorial cut-and-lift procedure with an application to 0-1 second-order conic programming. Math. Program. 196 (1) (2022)
Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions. J. Artif. Intell. Res. 75 (2022)
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning. CoRR (2021)
Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck
LM-cut and Operator Counting Heuristics for Optimal Numeric Planning with Simple Conditions. ICAPS (2021)
Margarita P. Castro, Chiara Piacentini, André Augusto Ciré, J. Christopher Beck
Solving Delete Free Planning with Relaxed Decision Diagram Based Heuristics. J. Artif. Intell. Res. 67 (2020)
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
An MDD-Based Lagrangian Approach to the Multicommodity Pickup-and-Delivery TSP. INFORMS J. Comput. 32 (2) (2020)
Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
Empirical Confidence Models for Supervised Machine Learning. Canadian Conference on AI (2020)
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
Learning Reward Machines for Partially Observable Reinforcement Learning. NeurIPS (2019)
Rodrigo Toro Icarte, León Illanes, Margarita P. Castro, André A. Ciré, Sheila A. McIlraith, J. Christopher Beck
Training Binarized Neural Networks Using MIP and CP. CP (2019)
Margarita P. Castro, Chiara Piacentini, André A. Ciré, J. Christopher Beck
Relaxed BDDs: An Admissible Heuristic for Delete-Free Planning Based on a Discrete Relaxation. ICAPS (2019)
Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
Compiling Optimal Numeric Planning to Mixed Integer Linear Programming. ICAPS (2018)
Michael Morin, Margarita P. Castro, Kyle E. C. Booth, Tony T. Tran, Chang Liu, J. Christopher Beck
Intruder alert! Optimization models for solving the mobile robot graph-clear problem. Constraints An Int. J. 23 (3) (2018)
Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning. AAAI (2018)