| A deep reinforcement learning approach for chemical production scheduling CD Hubbs, C Li, NV Sahinidis, IE Grossmann, JM Wassick Computers and Chemical Engineering 141, 2020 | 185 | 2020 |
| Or-gym: A reinforcement learning library for operations research problems CD Hubbs, HD Perez, O Sarwar, NV Sahinidis, IE Grossmann, ... arXiv preprint arXiv:2008.06319, 2020 | 105 | 2020 |
| Algorithmic approaches to inventory management optimization HD Perez, CD Hubbs, C Li, IE Grossmann Processes 9 (1), 102, 2021 | 72 | 2021 |
| Self-confined plasma in a magneto-plasma compressor and the influence of an externally imposed magnetic field AZ Giovannini, I Barendregt, T Haslinde, C Hubbs, RS Abhari Plasma Sources Science and Technology 24 (2), 025007, 2015 | 13 | 2015 |
| OR-Gym: A Reinforcement Learning Library for Operations Research Problems. arXiv 2020 CD Hubbs, HD Perez, O Sarwar, NV Sahinidis, IE Grossmann, ... arXiv preprint arXiv:2008.06319, 2008 | 9 | 2008 |
| Deep reinforcement learning for production scheduling C Hubbs, JM Wassick US Patent App. 17/287,678, 2022 | 8 | 2022 |
| An Industrial Application of Deep Reinforcement Learning for Chemical Production Scheduling CD Hubbs, A Kelloway, JM Wassick, NV Sahinidis, IE Grossmann Machine Learning for Engineering Modeling, Simulation, and Design Workshop …, 2020 | 4 | 2020 |
| Social Distancing to Slow the Coronavirus: Modeling the flattening of the COVID-19 peaks. Toward data science, Mar, 2020 C Hubbs | 2 | |
| A Comparison of Mathematical Optimization and Deep Reinforcement Learning for Supply Chain Materials Planning CD Hubbs, S Amaran, J Wassick, N Sahinidis, I Grossmann 2018 AIChE Annual Meeting, 2018 | 1 | 2018 |
| Advances in machine learning and intelligent systems III Z Wu, CD Hubbs, X Tang, V Thakker 2024 AIChE Annual Meeting, 2024 | | 2024 |
| A Platform for Online Inventory Optimization H Perez, CD Hubbs, C Li, I Grossmann 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Methods and Applications of Deep Reinforcement Learning for Chemical Processes CD Hubbs Carnegie Mellon University, 2021 | | 2021 |
| Multi-Stage Chemical Plant Production Scheduling Under Uncertainty with Deep Reinforcement Learning CD Hubbs, N Sahinidis, I Grossmann, J Wassick 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| An Open-Source Tool for Implementing and Comparing Sparse Regression Methods O Sarwar, CD Hubbs, N Sahinidis 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| A Deep Reinforcement Learning Approach for Production Scheduling CD Hubbs, N Sahinidis, I Grossmann, J Wassick 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Utilizing Deep Reinforcement Learning for Supply Chain Materials Planning CD Hubbs, JM Wassick, S Amaran, B Shuang 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
Ignacio E. GrossmannCarnegie Mellon Universityبريد إلكتروني تم التحقق منه على cmu.edu
