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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning

March 17, 2020 admin

Robots can use meta-learning to quickly adapt from simulation to various real world conditions.

See paper at https://arxiv.org/abs/2003.01239

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Last Topics Posts

  • Reset/jump constraint to the initial position
    Let me repeat it back to you to make sure I understand: (1) You have two ...
    by drleviathan
    February 2, 2023 4:47 pm
  • How to add real time plots on the GUI?
    Does anybody know how to do this? Or how to manipulate this GUI in general? ...
    by nobuyuki
    February 1, 2023 5:57 pm
  • How to add sensor modules?
    I am also interested in this! ...
    by nobuyuki
    February 1, 2023 5:55 pm
  • How to turn off gravity only for some Objects ?
    I am currently working on a VR simulation in VRED, utilizing PyBullet as the physics ...
    by Yogha001
    January 31, 2023 4:20 pm
  • Replicate ai generated animation back in pybullet.
    I'm also interested to hear how this can be done ...
    by dodge
    January 30, 2023 1:44 am

Home of Bullet and PyBullet: physics simulation for games, visual effects, robotics and reinforcement learning.

Recent Posts

  • Kubric: a scalable dataset generator
  • NeuralSim: Augmenting Differentiable Simulators with Neural Networks
  • PyBullet in a colab
  • Learning Agile Robotic Locomotion Skills by Imitating Animals
  • Assistive gym @ ICRA, 2020

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