Margarita P. Castro
Pontificia Universidad Católica de Chile(CL)
Publications by Year
Research Areas
AI-based Problem Solving and Planning, Formal Methods in Verification, Machine Learning and Algorithms, Scheduling and Optimization Algorithms, Vehicle Routing Optimization Methods
Most-Cited Works
- Learning Reward Machines for Partially Observable Reinforcement Learning(2019)
- → Optimization-based expansion planning for power and hydrogen systems with feedback from a unit commitment model(2023)27 cited
- → Training Binarized Neural Networks Using MIP and CP(2019)24 cited
- → Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning(2018)22 cited
- → Decision Diagrams for Discrete Optimization: A Survey of Recent Advances(2022)21 cited
- → Compiling Optimal Numeric Planning to Mixed Integer Linear Programming(2018)17 cited
- → An MDD-Based Lagrangian Approach to the Multicommodity Pickup-and-Delivery TSP(2019)15 cited
- → Learning reward machines: A study in partially observable reinforcement learning(2023)14 cited
- → LM-cut and Operator Counting Heuristics for Optimal Numeric Planning with Simple Conditions(2021)10 cited
- → The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions(2022)8 cited