Dec 4, 2023 · Abstract:Stochastic optimal control, which has the goal of driving the behavior of noisy systems, is broadly applicable in science, ...
This repo contains the code for the paper Stochastic Optimal Control Matching. We propose the SOCM training loss to learn controls in stochastic optimal ...
May 1, 2024 · Our work introduces Stochastic Optimal Control Matching (SOCM), a novel Iterative Diffusion Optimization (IDO) technique for stochastic optimal ...
This work introduces Stochastic Optimal Control Matching (SOCM), a novel Iterative Diffusion Optimization (IDO) technique for stochastic optimal control ...
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The content introduces a novel algorithm called Stochastic Optimal Control Matching (SOCM) for solving stochastic optimal control problems. The key ideas are: ...
Our work introduces Stochastic Optimal Control Matching (SOCM), anovel Iterative Diffusion Optimization (IDO) technique for stochastic ...
A stochastic optimal control problem deals with uncertainties when making decisions to maximize or minimize an objective function.
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Apr 18, 2024 · The paper introduces a new technique called Stochastic Optimal Control Matching (SOCM) for doing this kind of stochastic optimal control.
Abstract—We present a reformulation of the stochastic optimal control problem in terms of KL divergence minimisation, not.
In this letter, we define an extended noise model that reflects the prop- erties of the sensorimotor system; derive an efficient algorithm for solving the ...