A. OroojlooyJadid, M. Nazari, D. Hajinezhad, and J. Silva. "AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control", The 33th Conference on Neural Information Processing Systems, NeurIPS 2020, Vancouver, CA. [pdf]
A. Oroojlooy, R. Nazari, L. Snyder, and M. Takac. A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems, Will appear in MSOM, 2020 [pdf] [code] [code]
A. Oroojlooy, D. Hajinezhad. "A Review of Cooperative Multi-Agent Deep Reinforcement Learning", 2019. [pdf]
R. Nazari, A. Oroojlooy, L. Snyder, and M. Takac. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem", The 31th Conference on Neural Information Processing Systems, NeurIPS 2018, Montreal, CA. [pdf] [code]
A. Oroojlooy, R. Nazari, L. Snyder, and M. Takac. "A Deep Q-Network for the Beer Game with Partial Information," Neural Information Processing Systems (NIPS), Deep Reinforcement Learning Symposium 2017, Long Beach, CA.[pdf]
R. Nazari, A. Oroojlooy, M. Kabul. "Online Reinforcement Learning with the applications in Customer Journey Optimization," Neural Information Processing Systems (NIPS), Deep Reinforcement Learning Symposium 2017, Long Beach, CA. [pdf].
A. Oroojlooy, L. Snyder, M. Takac. "Stock-out Prediction in Multi-echelon Networks." [pdf]
A. Oroojlooy, L. Snyder, and M. Takac. "Applying Deep Learning to the Newsvendor Problem," IISE Transactions, 2019, DOI: 10.1080/24725854.2019.1632502, [pdf]
A. Oroojlooy, K. Eshghi, Train Timetabling on multiple track and station capacity railway with enhanced upper and lower bound heuristic method for same train in network, Scientia Iranica, Volume 24, Issue 6, November and December 2017, Page 3324-3344. pdf
A. Oroojlooy, M. Firouz, L. Snyder, Simulation based approach for solving Unequal Area Facility Layout Problems in Stochastic condition by Genetic Algorithm, arXiv:1608.08321 (2016).
A. Oroojlooy, B. Ghalebsaz Jeddi, Transfer Function and ARIMA Models to Forecast Atmospheric Carbon Dioxide Emission,
working paper, Oct 2015
K. Kianfar, S.M.T. Fatemi Ghomi, A. Oroojlooy, 2012, Study of stochastic sequence-dependent flexible flow shop via developing a dispatching rule and a hybrid GA, Engineering Applications of Artificial Intelligence, 25 (2012) 494–506.
Talks.
A. Oroojlooy, An Introduction to RL and its Applications in SCM, IIIEC 2021, Online Meeting, Feb 2021. [pdf]
A. Oroojlooy, M. Nazari, D. Hajinezhad, J. Silva. Attendlight: Universal Attention-based Reinforcement Learning Model For Traffic Signal Control, INFORMS Annual Meeting , Online Meeting, 2020.
A. Oroojlooy, D. Hajinezhad. Deal With Non-stationarity In Multi Agent Reinforcement Learning: A Review Of Fully Observable Critic Models, INFORMS Annual Meeting , Online Meeting, 2020.
D. Hajinezhad, A. Oroojlooy. Consensus Optimization In Multi-agent Reinforcement Learning: A Review, INFORMS Annual Meeting , Online Meeting, 2020.
A. Oroojlooy, M. Nazari, L. V. Snyder, M. Takáç. Reinforcement Learning algorithm for Inventory Optimization: Case on Beer Game, INFORMS Annual Meeting , Phoenix, AZ, Nov 2018.
M. Nazari, A. Oroojlooy, L. V. Snyder, M. Takáç. Reinforcement learning for solving the vehicle routing problem. MOPTA, Bethlehem, PA, August 2018.
A. Oroojlooy, M. Nazari, L. V. Snyder, M. Takáç. A Computer Plays the Beer Game: A Deep Reinforcement Learning Algorithm for Inventory Optimization, INFORMS Annual Meeting , Houston, TX, Oct 2017.
M. Nazari, A. OroojlooyJadid, L. V. Snyder, M. Takáç. Controlling stochastic VRP systems by using deep reinforcement learning., INFORMS Annual Meeting , Houston, TX, Oct 2017.
A. Oroojlooy, M. Nazari, L. V. Snyder, M. Takáç. A Deep Q-Network Algorithm for Inventory Optimization, Application on Beer Game, Modeling and Optimization: Theory and Applications conference ,
Bethlehem, PA, Aug 2017.
A. Oroojlooy, L. V. Snyder, M. Takáç. A Deep Learning model for the Newsvendors Problem, MSOM, Chapel Hill, NC, Jul 2017.
A. Oroojlooy, L. V. Snyder, M. Takáç. Application of Deep Learning for Newsvendor Problems, POMS, Seattle, WA, May 2017
A. Oroojlooy, L. V. Snyder, M. Takáç. Deep Learning for Newsvendors Problem, INFORMS Annual Meeting , Nashville, TN, Oct 2016.
A. Oroojlooy, L. V. Snyder, M. Takáç. A Deep Learning Model to Predict Stockouts in Multi-Echelon Inventory Systems, Modeling and Optimization: Theory and Applications conference , Bethlehem, PA, Aug
2016.
A. Oroojlooy, L. V. Snyder, M. Takáç. Deep Learning for Newsvendors, Modeling and Optimization: Theory and Applications conference , Bethlehem, PA, Aug 2016.