Margarita P. Castro

16 papers A* 5A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Learning reward machines: A study in partially observable reinforcement learning.
Artif. Intell.
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith
2023 J jnl
Optimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming.
Constraints An Int. J.
Margarita P. Castro
2022 J jnl
A combinatorial cut-and-lift procedure with an application to 0-1 second-order conic programming.
Math. Program.
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
2022 J jnl
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances.
INFORMS J. Comput.
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
2022 J jnl
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions.
J. Artif. Intell. Res.
Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck
2021 A* conf
LM-cut and Operator Counting Heuristics for Optimal Numeric Planning with Simple Conditions.
ICAPS
Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck
2021 J jnl
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning.
CoRR
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2020 J jnl
An MDD-Based Lagrangian Approach to the Multicommodity Pickup-and-Delivery TSP.
INFORMS J. Comput.
Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
2020 — conf
Empirical Confidence Models for Supervised Machine Learning.
Canadian AI
Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
2020 J jnl
Solving Delete Free Planning with Relaxed Decision Diagram Based Heuristics.
J. Artif. Intell. Res.
Margarita P. Castro, Chiara Piacentini, André Augusto Ciré, J. Christopher Beck
2019 A* conf
Learning Reward Machines for Partially Observable Reinforcement Learning.
NeurIPS
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2019 A* conf
Relaxed BDDs: An Admissible Heuristic for Delete-Free Planning Based on a Discrete Relaxation.
ICAPS
Margarita P. Castro, Chiara Piacentini, André A. Ciré, J. Christopher Beck
2019 A conf
Training Binarized Neural Networks Using MIP and CP.
CP
Rodrigo Toro Icarte, León Illanes, Margarita P. Castro, André A. Ciré, Sheila A. McIlraith, J. Christopher Beck
2018 A* conf
Compiling Optimal Numeric Planning to Mixed Integer Linear Programming.
ICAPS
Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck
2018 J jnl
Intruder alert! Optimization models for solving the mobile robot graph-clear problem.
Constraints An Int. J.
Michael Morin, Margarita P. Castro, Kyle E. C. Booth, Tony T. Tran, Chang Liu, J. Christopher Beck
2018 A* conf
Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning.
AAAI
Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck