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Offline RL gets a boost: IPD leverages a world model and MPC to hallucinate optimal trajectories, distilling them into a Transformer policy for substantial performance gains.
Humanoid robots can now learn complex, terrain-aware motions directly from video using a low-cost pipeline, eliminating the need for expensive MoCap data and manual motion design.