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Reinforcement Learning

2 articles
  1. Humanoid & Robotics SystemsExplainer

    How Humanoids Walk Without Falling: From ZMP Control to Reinforcement-Learning Policies

    How biped control grew from ZMP and inverted-pendulum planning with whole-body control to massively parallel RL policies — with the …

    · 5 min read
  2. Physical AI Models & Core TechExplainer

    Why the Sim-to-Real Gap Happens and How to Close It: Domain Randomization, Dynamics Randomization and Adaptation

    Why simulation-trained robot policies fail on hardware, and how domain randomization, dynamics randomization, ADR and RMA-style adaptation …

    · 5 min read