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2020 – today
- 2024
[c7]Babak Badnava, Jacob Chakareski, Morteza Hashemi:
Multi-Task Decision-Making for Multi-User $360^{\circ}$ Video Processing over Wireless Networks. MIPR 2024: 294-300- [i6]Babak Badnava, Jacob Chakareski, Morteza Hashemi:
Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks. CoRR abs/2407.03426 (2024) - 2023
- [c6]Babak Badnava, Mona Esmaeili, Nasser Mozayani, Payman Zarkesh-Ha:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CCWC 2023: 1-6 - [c5]Babak Badnava, Keenan Roach, Kenny Cheung, Morteza Hashemi, Ness B. Shroff:
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems. GLOBECOM 2023: 3081-3086 - [i5]Babak Badnava, Keenan Roach, Kenny Cheung, Morteza Hashemi, Ness B. Shroff:
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems. CoRR abs/2308.06647 (2023) - 2022
- [c4]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang
:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. ACC 2022: 2084-2090 - [c3]Zeinab Akhavan, Mona Esmaeili, Babak Badnava, Mohammad Yousefi, Xiang Sun, Michael Devetsikiotis, Payman Zarkesh-Ha:
Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing. GLOBECOM 2022: 2218-2223 - [c2]Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. ISIT 2022: 736-741 - [i4]Iman Askari, Babak Badnava, Thomas Woodruff, Shen Zeng, Huazhen Fang:
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning. CoRR abs/2205.04506 (2022) - [i3]Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. CoRR abs/2207.00532 (2022) - [i2]Zeinab Akhavan, Mona Esmaeili, Babak Badnava, Mohammad Yousefi, Xiang Sun, Michael Devetsikiotis, Payman Zarkesh-Ha:
Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing. CoRR abs/2209.05191 (2022) - 2021
- [c1]Babak Badnava, Taejoon Kim, Kenny Cheung, Zaheer Ali, Morteza Hashemi:
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning. SEC 2021: 376-380
2010 – 2019
- 2019
- [i1]Babak Badnava, Nasser Mozayani:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CoRR abs/1902.06239 (2019)
Coauthor Index
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