CoCD converts stale gradients into stable descent directions for zeroth-order optimization through coherent coordinate updates and implicit landscape smoothing from larger finite-difference steps.
Robust and efficient mujoco-based model predictive control via web of affine spaces derivatives
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A framework for simultaneous model predictive control and online parameter estimation is introduced by treating differentiable physics simulators as computational objects for gradient-based joint optimization.
citing papers explorer
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Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization
CoCD converts stale gradients into stable descent directions for zeroth-order optimization through coherent coordinate updates and implicit landscape smoothing from larger finite-difference steps.
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MPC and System Identification with Differentiable Physics: Fluid System and Particle Beam Control
A framework for simultaneous model predictive control and online parameter estimation is introduced by treating differentiable physics simulators as computational objects for gradient-based joint optimization.