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ORCIDAmirhossein Asgharnia
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- affiliation: Carleton University, Department of Systems and Computer Engineering, Ottawa, Canada
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2020 – today
- 2024
[j4]Rachel Haighton, Amirhossein Asgharnia
, Howard M. Schwartz, Sidney Givigi:
An adaptable fuzzy reinforcement learning method for non-stationary environments. Neurocomputing 604: 128309 (2024)- [c6]Ahmed Sid-Ali, Ioannis Lambadaris, Yiqiang Q. Zhao, Gennady Shaikhet, Amirhossein Asgharnia:
Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques. ICC 2024: 1419-1424 - [i2]Ahmed Sid-Ali, Ioannis Lambadaris, Yiqiang Q. Zhao, Gennady Shaikhet, Amirhossein Asgharnia:
Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints. CoRR abs/2405.02373 (2024) - 2023
- [j3]Amirhossein Asgharnia, Howard Schwartz, Mohamed Maher Atia:
Multi-objective fuzzy Q-learning to solve continuous state-action problems. Neurocomputing 516: 115-132 (2023) - [c5]Rachel Haighton, Amirhossein Asgharnia, Howard Schwartz, Sidney Givigi:
Hierarchical Reinforcement Learning for Non-Stationary Environments. SSCI 2023: 1421-1428 - [i1]Ahmed Sid-Ali, Ioannis Lambadaris, Yiqiang Q. Zhao, Gennady Shaikhet, Amirhossein Asgharnia:
Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques. CoRR abs/2311.10023 (2023) - 2022
- [j2]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Learning Deception Using Fuzzy Multi-Level Reinforcement Learning in a Multi-Defender One-Invader Differential Game. Int. J. Fuzzy Syst. 24(7): 3015-3038 (2022) - [j1]Mir Masoud Ale Ali, Ali Jamali, Amirhossein Asgharnia, R. Ansari, Rammohan Mallipeddi:
Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming. Neural Comput. Appl. 34(2): 1345-1357 (2022) - [c4]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Multi-Invader Multi-Defender Differential Game Using Reinforcement Learning. FUZZ-IEEE 2022: 1-8 - [c3]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Hierarchical Reinforcement Learning With Multi Discount Factors In A Differential Game. SSCI 2022: 686-693 - 2020
- [c2]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Deception In The Game of Guarding Multiple Territories: A Machine Learning Approach. SMC 2020: 381-388 - [c1]Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories. SSCI 2020: 1321-1327
Coauthor Index
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