Babak Badnava

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Network Dynamics

Reinforcement Learning

Buffer Allocation

Top Venues

Publications

Babak Badnava, Jacob Chakareski, Morteza Hashemi
Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks. CoRR (2024)
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 (2023)
Babak Badnava, Mona Esmaeili, Nasser Mozayani, Payman Zarkesh-Ha
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CCWC (2023)
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)
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)
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 (2022)
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 (2022)
Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. CoRR (2022)
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)
Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. ISIT (2022)
Babak Badnava, Taejoon Kim, Kenny Cheung, Zaheer Ali, Morteza Hashemi
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning. SEC (2021)
Babak Badnava, Nasser Mozayani
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CoRR (2019)