Search Results - A Rupam Mahmood

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  1. 1
    Setting up a Reinforcement Learning Task with a Real-World Robot

    Setting up a Reinforcement Learning Task with a Real-World Robot by Rupam Mahmood, A., Korenkevych, Dmytro, Komer, Brent J., Bergstra, James

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  2. 2
    Loss of plasticity in deep continual learning

    Loss of plasticity in deep continual learning by Dohare, Shibhansh, Hernandez-Garcia, J. Fernando, Lan, Qingfeng, Rahman, Parash, Mahmood, A. Rupam, Sutton, Richard S.

    Published in Nature (London)
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  3. 3
    Dynamic Decision Frequency with Continuous Options

    Dynamic Decision Frequency with Continuous Options by Karimi, Amirmohammad, Jin, Jun, Luo, Jun, Mahmood, A. Rupam, Jagersand, Martin, Tosatto, Samuele

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  4. 4
    Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

    Heteroscedastic Uncertainty for Robust Generative Latent Dynamics by Limoyo, Oliver, Chan, Bryan, Maric, Filip, Wagstaff, Brandon, Mahmood, Ashique Rupam, Kelly, Jonathan

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  5. 5
    Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization

    Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization by Farrahi, Homayoon, Mahmood, A. Rupam

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  6. 6
    Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

    Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning by Elsayed, Mohamed, A Rupam Mahmood

    Published in arXiv.org
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  7. 7
    Elephant Neural Networks: Born to Be a Continual Learner

    Elephant Neural Networks: Born to Be a Continual Learner by Lan, Qingfeng, A Rupam Mahmood

    Published in arXiv.org
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  8. 8
    Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization

    Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization by Farrahi, Homayoon, A Rupam Mahmood

    Published in arXiv.org
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  9. 9
    Streaming Deep Reinforcement Learning Finally Works

    Streaming Deep Reinforcement Learning Finally Works by Elsayed, Mohamed, Vasan, Gautham, A Rupam Mahmood

    Published in arXiv.org
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  10. 10
    Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning

    Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning by Elsayed, Mohamed, A Rupam Mahmood

    Published in arXiv.org
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  11. 11
    HesScale: Scalable Computation of Hessian Diagonals

    HesScale: Scalable Computation of Hessian Diagonals by Elsayed, Mohamed, A Rupam Mahmood

    Published in arXiv.org
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  12. 12
    Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control

    Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control by Przystupa, Michael, Dehghan, Masood, Jagersand, Martin, Mahmood, A. Rupam

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  13. 13
    Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots

    Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots by Yuan, Yufeng, A Rupam Mahmood

    Published in arXiv.org
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  14. 14
    Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers

    Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers by Wang, Yan, Vasan, Gautham, A Rupam Mahmood

    Published in arXiv.org
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  15. 15
    Correcting discount-factor mismatch in on-policy policy gradient methods

    Correcting discount-factor mismatch in on-policy policy gradient methods by Che, Fengdi, Vasan, Gautham, A Rupam Mahmood

    Published in arXiv.org
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  16. 16
    Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning

    Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning by Elsayed, Mohamed, Farrahi, Homayoon, Dangel, Felix, A Rupam Mahmood

    Published in arXiv.org
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  17. 17
    Weight Clipping for Deep Continual and Reinforcement Learning

    Weight Clipping for Deep Continual and Reinforcement Learning by Elsayed, Mohamed, Lan, Qingfeng, Lyle, Clare, A Rupam Mahmood

    Published in arXiv.org
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  18. 18
    Learning to Optimize for Reinforcement Learning

    Learning to Optimize for Reinforcement Learning by Lan, Qingfeng, A Rupam Mahmood, Shuicheng Yan, Xu, Zhongwen

    Published in arXiv.org
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  19. 19
    Model-free Policy Learning with Reward Gradients

    Model-free Policy Learning with Reward Gradients by Lan, Qingfeng, Tosatto, Samuele, Farrahi, Homayoon, A Rupam Mahmood

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  20. 20
    Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation

    Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation by Lan, Qingfeng, Pan, Yangchen, Luo, Jun, A Rupam Mahmood

    Published in arXiv.org
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