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Alireza Azimi
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[j3]Alireza Azimi, Mehran Mohsenzadeh, Ebrahim Akbari, Reza Ravanmehr, Mohammad Reza Alizadeh:
Ensemble rank-based multi-objective optimization for stable and resource-efficient adaptation in dynamic software product lines. J. Supercomput. 82(4): 191 (2026)
[i4]Seyed Alireza Azimi, Homayoon Farrahi, Abhishek Naik, Colin Bellinger, A. Rupam Mahmood:
Benchmarking Action Spaces in Reinforcement Learning for Vision-based Robotic Manipulation. CoRR abs/2606.18594 (2026)- 2025
[j2]Redmond R. Shamshiri, Alireza Azimi
, Maryam Behjati, Aliakbar Ghasemzadeh, Volker Dworak, Cornelia Weltzien, Konstantinos Karydis, Fernando Alfredo Auat Cheeín:
Online path tracking with an integrated H∞ robust adaptive controller for a double-Ackermann steering robot for orchard waypoint navigation. Int. J. Intell. Robotics Appl. 9(1): 257-277 (2025)
[j1]Aliakbar Ghasemzadeh, Alireza Azimi, Roya Amjadifard, Ali Keymasi Khalaji
:
A novel control paradigm for collision-free trajectory tracking in tractor-trailer robots. Robotica 43(9): 3395-3418 (2025)
[i3]Huiyi Wang, Fahim Shahriar, Alireza Azimi, Gautham Vasan, Rupam Mahmood, Colin Bellinger:
Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection. CoRR abs/2507.10814 (2025)
[i2]Fahim Shahriar, Cheryl Wang, Alireza Azimi, Gautham Vasan, Hany Hamed Elanwar, A. Rupam Mahmood, Colin Bellinger:
General and Efficient Visual Goal-Conditioned Reinforcement Learning using Object-Agnostic Masks. CoRR abs/2510.06277 (2025)- 2024
[c1]Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, Rupam Mahmood:
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. NeurIPS 2024
[i1]Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood:
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. CoRR abs/2411.15370 (2024)
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