A new PyTorch toolkit estimates contraction-on-average conditions in closed-loop AI-agent models to support fairness and robustness analysis.
Stochastic Model Predictive Control, Iterated Function Systems, and Stability
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abstract
We present the observation that the process of stochastic model predictive control can be formulated in the framework of iterated function systems. The latter has a rich ergodic theory that can be applied to study the system's long-run behavior. We show how such a framework can be realized for specific problems and illustrate the required conditions for the application of relevant theoretical guarantees.
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humancompatible.interconnect: Testing Properties of Repeated Uses of Interconnections of AI Systems
A new PyTorch toolkit estimates contraction-on-average conditions in closed-loop AI-agent models to support fairness and robustness analysis.