Sanner, Scott

The 2014 International Planning Competition: Progress and Trends

Vallati, M., Chrpa, L., Grześ, M., McCluskey, T. L., Roberts, M., & Sanner, S. (2015) · AI Magazine

AI-based Problem Solving and PlanningConstraint Satisfaction and Optimization

Cited by 112

Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data

Huchuk, B., Sanner, S., & O'Brien, W. (2019) · Building and Environment

Building Energy and Comfort OptimizationIoT-based Smart Home Systems

Cited by 108

The 2023 International Planning Competition

Taitler, A., Alford, R., Espasa, J., Behnke, G., Fišer, D., Gimelfarb, M., Pommerening, F., Sanner, S., Scala, E., Schreiber, D., et al. (2024) · AI Magazine

AI-based Problem Solving and PlanningConstraint Satisfaction and Optimization

Cited by 24

A critical review of traffic signal control and a novel unified view of reinforcement learning and model predictive control approaches for adaptive traffic signal control

Wang, X., Abdulhai, B., & Sanner, S. (2023) · Handbook on Artificial Intelligence and Transport

Traffic control and managementTraffic Prediction and Management Techniques

Cited by 20

OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3

Courtis, D., Li, W., & Sanner, S. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0