| Continuous inventory control with stochastic and non-stationary Markovian demand WW Nasr, IJ Elshar European Journal of Operational Research 270 (1), 198-217, 2018 | 26 | 2018 |
| Lookahead-bounded q-learning I El Shar, D Jiang International Conference on Machine Learning, 8665-8675, 2020 | 13 | 2020 |
| Weakly coupled deep Q-networks I El Shar, D Jiang Advances in Neural Information Processing Systems 36, 2024 | 6* | 2024 |
| Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization I El Shar, W Sun, H Wang, C Gupta 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 4 | 2022 |
| Bound enhanced reinforcement learning system for distribution supply chain management H Wang, A Kiuchi, HK Tang, C Gupta, ELS Ibrahim, SUN Wenhuan US Patent App. 18/105,593, 2024 | | 2024 |
| Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization I El Shar, H Wang, C Gupta 2023 IEEE 19th International Conference on Automation Science and …, 2023 | | 2023 |
| Exploiting Structure and Relaxations in Reinforcement Learning and Stochastic Optimal Control I El Shar University of Pittsburgh, 2023 | | 2023 |
| Continuous (s, S) inventory policy with non-stationary stochastic demand IJ Elshar Theses, Dissertations, and Projects, 2016 | | 2016 |
Daniel R. JiangMeta & University of PittsburghDirección de correo verificada de meta.com