Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...
Abstract: This article investigates the problem of adaptive neural sliding mode control for Markov jump systems. The transition probabilities of the Markov process are partly unknown. The cyber layer, ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
Abstract: We consider the problem of tracking the state of Gauss-Markov processes over rate-limited erasure-prone links. We concentrate first on the scenario in which several independent processes are ...
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We present a user-friendly open-source Matlab package for stochastic data analysis that enables to perform a standard analysis of given turbulent data and extracts the stochastic equations describing ...
Crash-triggering states found by MDPFuzz: For more results, please refer to our website. We evaluate MDPFuzz on five SOTA models solving MDPs. We include the core components of MDPFuzz in the fuzz ...
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