Optimal scheduling of networked energy storages. - Bharath R. Vellaboyana; Afshin Oroojlooyjadid; Dariush Fooladivanda; Joshua A. Taylor; Lawrence V. Snyder (GlobalSIP, 2015)

A Deep Q-Network for the Beer Game with Partial Information. - Afshin Oroojlooyjadid; MohammadReza Nazari; Lawrence V. Snyder; Martin Takác 001 (CoRR, 2017)

Stock-out Prediction in Multi-echelon Networks. - Afshin Oroojlooyjadid; Lawrence V. Snyder; Martin Takác 001 (CoRR, 2017)

Reinforcement Learning for Solving the Vehicle Routing Problem. - MohammadReza Nazari; Afshin Oroojlooy; Lawrence V. Snyder; Martin Takác 001 (NeurIPS, 2018)

Deep Reinforcement Learning for Solving the Vehicle Routing Problem. - MohammadReza Nazari; Afshin Oroojlooy; Lawrence V. Snyder; Martin Takác 001 (CoRR, 2018)

AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control. - Afshin Oroojlooy; MohammadReza Nazari; Davood Hajinezhad; Jorge Silva (NeurIPS, 2020)

Applying deep learning to the newsvendor problem. - Afshin Oroojlooyjadid; Lawrence V. Snyder; Martin Takác 001 (IISE Trans., 2020)

Towards optimized actions in critical situations of soccer games with deep reinforcement learning. - Pegah Rahimian; Afshin Oroojlooy; László Toka (DSAA, 2021)

A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization. - Afshin Oroojlooyjadid; MohammadReza Nazari; Lawrence V. Snyder; Martin Takác 001 (Manuf. Serv. Oper. Manag., 2022)

A review of cooperative multi-agent deep reinforcement learning. - Afshin Oroojlooy; Davood Hajinezhad (Appl. Intell., 2023)