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2020 – today
- 2023
[j5]Afshin Oroojlooy
, Davood Hajinezhad:
A review of cooperative multi-agent deep reinforcement learning. Appl. Intell. 53(11): 13677-13722 (2023)- 2022
- [j4]Farshad Saberi-Movahed, Mahyar Mohammadifard, Adel Mehrpooya, Mohammad Rezaei-Ravari, Kamal Berahmand, Mehrdad Rostami, Saeed Karami, Mohammad Najafzadeh, Davood Hajinezhad, Mina Jamshidi, Farshid Abedi, Mahtab Mohammadifard, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Negar Mottaghi-Dastjerdi, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Hamid Alinejad-Rokny, Shahab S. Band, Iman Tavassoly:
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. Comput. Biol. Medicine 146: 105426 (2022) - 2020
- [c7]Afshin Oroojlooy, MohammadReza Nazari, Davood Hajinezhad, Jorge Silva:
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control. NeurIPS 2020 - [i3]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
- [j3]Davood Hajinezhad, Mingyi Hong:
Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization. Math. Program. 176(1-2): 207-245 (2019) - [j2]Davood Hajinezhad, Mingyi Hong, Alfredo García:
ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks. IEEE Trans. Autom. Control. 64(10): 3995-4010 (2019) - [c6]Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos:
Reduced variance deep reinforcement learning with temporal logic specifications. ICCPS 2019: 237-248 - [i2]Afshin Oroojlooyjadid, Davood Hajinezhad:
A Review of Cooperative Multi-Agent Deep Reinforcement Learning. CoRR abs/1908.03963 (2019) - 2018
- [j1]Davood Hajinezhad, Qingjiang Shi:
Alternating direction method of multipliers for a class of nonconvex bilinear optimization: convergence analysis and applications. J. Glob. Optim. 70(1): 261-288 (2018) - [c5]Davood Hajinezhad, Michael M. Zavlanos:
Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization. CDC 2018: 4939-4944 - 2017
- [c4]Mingyi Hong, Davood Hajinezhad, Ming-Min Zhao:
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks. ICML 2017: 1529-1538 - 2016
- [c3]Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qingjiang Shi, Mingyi Hong:
Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis. ICASSP 2016: 4742-4746 - [c2]Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang:
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. NIPS 2016: 3207-3215 - [i1]Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang:
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. CoRR abs/1605.07747 (2016) - 2015
- [c1]Davood Hajinezhad, Mingyi Hong:
Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis. GlobalSIP 2015: 255-259
Coauthor Index
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