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

Recent Posts

  • PyBullet/Bullet Physics 3.05
  • Assistive gym @ ICRA, 2020
  • Learning Agile Robotic Locomotion Skills by Imitating Animals
  • Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
  • Lumote game using Bullet

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