John Sipple

According to our database, John Sipple authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for Environmental Sustainability.

Judah Goldfeder, John Sipple

CoRR, 2024

Reducing Carbon Emissions at Scale: Interpretable and Efficient to Implement Reinforcement Learning via Policy Extraction.

Judah Goldfeder, John Sipple

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings.

Judah A. Goldfeder, John A. Sipple

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

A General-Purpose Method for Applying Explainable AI for Anomaly Detection.

John Sipple, Abdou Youssef

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2020

Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure.

John Sipple

Proceedings of the 37th International Conference on Machine Learning, 2020