Preprint
Aug 2026
Learning the Right Abstraction: Neural Reduced Dynamics for Complex Robot Control
A neural reduced dynamics framework is developed that separates the state the model propagates from what can be supplied as an input or recovered analytically, trains policies entirely inside the frozen learned model, and validates them back in the high-fidelity simulator.
Harry Zhang, Dan Negrut
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