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Models/DrQ

DrQ

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots3 results

  • Continuous ControlonDeepMind Walker Walk (Images)
    Return· 2020-04-28
    921
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • Continuous ControlonDeepMind Cup Catch (Images)
    Return· 2020-04-28
    963
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • Continuous ControlonDeepMind Cheetah Run (Images)
    Return· 2020-04-28
    660
    best: 800 (DreamerV1)
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649

Methodology3 results

  • 3DonDeepMind Walker Walk (Images)
    Return· 2020-04-28
    921
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • 3DonDeepMind Cup Catch (Images)
    Return· 2020-04-28
    963
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • 3DonDeepMind Cheetah Run (Images)
    Return· 2020-04-28
    660
    best: 800 (DreamerV1)
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649

Medical3 results

  • 3D Face ModellingonDeepMind Walker Walk (Images)
    Return· 2020-04-28
    921
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • 3D Face ModellingonDeepMind Cup Catch (Images)
    Return· 2020-04-28
    963
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649
  • 3D Face ModellingonDeepMind Cheetah Run (Images)
    Return· 2020-04-28
    660
    best: 800 (DreamerV1)
    SOTA
    Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsarXiv:2004.13649