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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

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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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