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Robotic World Model: Neural Dynamics for Locomotion

Published 2 months, 3 weeks ago
Description
A neural dynamics world model paired with model-free RL for quadruped and humanoid locomotion in IsaacLab, enabling long-horizon autoregressive prediction with policies trained in imagined rollouts that outperform model-based baselines on sim-to-real transfer.
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