Two Models, One Gradient: Making World-Model RL Work for Contact-Rich Robots

Breaks intractable full world-model RL into a heavy global trajectory model combined with a lightweight latent local dynamics approximator, enabling scalable RL for contact-rich humanoid skills without backpropagating through the full model.