Search Results - Badnava, Babak

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  1. 1
    Multi-Task Decision-Making for Multi-User 360^ Video Processing over Wireless Networks

    Multi-Task Decision-Making for Multi-User 360^ Video Processing over Wireless Networks by Badnava, Babak, Chakareski, Jacob, Hashemi, Morteza

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  2. 2
    QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach

    QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach by Badnava, Babak, Reddy Chintareddy, Sravan, Hashemi, Morteza

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  3. 3
    Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning

    Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning by Askari, Iman, Badnava, Babak, Woodruff, Thomas, Zeng, Shen, Fang, Huazhen

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  4. 4
    Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning

    Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning by Askari, Iman, Badnava, Babak, Woodruff, Thomas, Zeng, Shen, Fang, Huazhen

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  5. 5
    Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems

    Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems by Badnava, Babak, Roach, Keenan, Cheung, Kenny, Hashemi, Morteza, Shroff, Ness B

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  6. 6
    Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks

    Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks by Badnava, Babak, Chakareski, Jacob, Hashemi, Morteza

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  7. 7
    QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach

    QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach by Badnava, Babak, Sravan Reddy Chintareddy, Hashemi, Morteza

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  8. 8
    A new Potential-Based Reward Shaping for Reinforcement Learning Agent

    A new Potential-Based Reward Shaping for Reinforcement Learning Agent by Badnava, Babak, Esmaeili, Mona, Mozayani, Nasser, Zarkesh-Ha, Payman

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  9. 9
    Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems

    Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems by Badnava, Babak, Roach, Keenan, Cheung, Kenny, Hashemi, Morteza, Shroff, Ness B

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  10. 10
    Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing

    Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing by Akhavan, Zeinab, Esmaeili, Mona, Badnava, Babak, Yousefi, Mohammad, Sun, Xiang, Devetsikiotis, Michael, Zarkesh-Ha, Payman

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