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Found 3 papers, 1 papers with code
Context-aware LLM-based Safe Control Against Latent Risks
It is challenging for autonomous control systems to perform complex tasks in the presence of latent risks.
Physics-Informed Representation and Learning: Control and Risk Quantification
Optimal and safety-critical control are fundamental problems for stochastic systems, and are widely considered in real-world scenarios such as robotic manipulation and autonomous driving.
A Learning and Control Perspective for Microfinance
Although many methods in regular finance can estimate credit scores and default probabilities, these methods are not directly applicable to microfinance due to the following unique characteristics: a) under-explored (developing) areas such as rural Africa do not have sufficient prior loan data for microfinance institutions (MFIs) to establish a credit scoring system; b) microfinance applicants may have difficulty providing sufficient information for MFIs to accurately predict default probabilities; and c) many MFIs use group liability (instead of collateral) to secure repayment.
