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ORCIDAfshin Oroojlooyjadid
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2020 – today
- 2023
[j3]Afshin Oroojlooy
, Davood Hajinezhad:
A review of cooperative multi-agent deep reinforcement learning. Appl. Intell. 53(11): 13677-13722 (2023)- 2022
- [j2]Afshin Oroojlooyjadid, MohammadReza Nazari, Lawrence V. Snyder, Martin Takác:
A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization. Manuf. Serv. Oper. Manag. 24(1): 285-304 (2022) - 2021
- [c4]Pegah Rahimian, Afshin Oroojlooy, László Toka:
Towards optimized actions in critical situations of soccer games with deep reinforcement learning. DSAA 2021: 1-12 - [i7]Pegah Rahimian, Afshin Oroojlooy, László Toka:
Towards optimized actions in critical situations of soccer games with deep reinforcement learning. CoRR abs/2109.06625 (2021) - 2020
- [j1]Afshin Oroojlooyjadid, Lawrence V. Snyder, Martin Takác:
Applying deep learning to the newsvendor problem. IISE Trans. 52(4): 444-463 (2020) - [c3]Afshin Oroojlooy, MohammadReza Nazari, Davood Hajinezhad, Jorge Silva:
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control. NeurIPS 2020 - [i6]Afshin Oroojlooy, MohammadReza Nazari, Davood Hajinezhad, Jorge Silva:
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control. CoRR abs/2010.05772 (2020)
2010 – 2019
- 2019
- [i5]Afshin Oroojlooyjadid, Davood Hajinezhad:
A Review of Cooperative Multi-Agent Deep Reinforcement Learning. CoRR abs/1908.03963 (2019) - 2018
- [c2]MohammadReza Nazari, Afshin Oroojlooy, Lawrence V. Snyder, Martin Takác:
Reinforcement Learning for Solving the Vehicle Routing Problem. NeurIPS 2018: 9861-9871 - [i4]MohammadReza Nazari, Afshin Oroojlooy, Lawrence V. Snyder, Martin Takác:
Deep Reinforcement Learning for Solving the Vehicle Routing Problem. CoRR abs/1802.04240 (2018) - 2017
- [i3]Afshin Oroojlooyjadid, MohammadReza Nazari, Lawrence V. Snyder, Martin Takác:
A Deep Q-Network for the Beer Game with Partial Information. CoRR abs/1708.05924 (2017) - [i2]Afshin Oroojlooyjadid, Lawrence V. Snyder, Martin Takác:
Stock-out Prediction in Multi-echelon Networks. CoRR abs/1709.06922 (2017) - 2016
- [i1]Afshin Oroojlooyjadid, Lawrence V. Snyder, Martin Takác:
Applying Deep Learning to the Newsvendor Problem. CoRR abs/1607.02177 (2016) - 2015
- [c1]Bharath R. Vellaboyana, Afshin Oroojlooyjadid, Dariush Fooladivanda, Joshua A. Taylor, Lawrence V. Snyder:
Optimal scheduling of networked energy storages. GlobalSIP 2015: 982-986
Coauthor Index
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