Mark Landergan @MLandergan
Robotics Engineer specalizing in Reinforcement Learning Bay Area, CA Joined September 2020-
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mlandergan.github.io/blog/g1-amp-st… Welcome any feedback!
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I’m putting together a hands-on series on reinforcement learning for humanoid whole-body control, covering the techniques and practical lessons I’ve learned along the way. Starting with PPO locomotion on the Unitree G1 and AMP for stylized walking. mlandergan.github.io/blog/g1-baseli…
@chris_j_paxton @agilityrobotics @ishitagupta24 @JonahSiekmann Great work! Would love to hear more about the policy. What are the observation and action spaces? Is this hierarchical, with a frozen lower-level locomotion policy, or a single end-to-end policy going from vision → ~28-DoF actions?
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