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#sequential-decisions News & Analysis

2 articles tagged with #sequential-decisions. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 96/10
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Evaluating AI Investment Strategies

Researchers present a mathematical framework for auditing black-box algorithmic decision-makers by decomposing cumulative regret into per-period covariances between costs and policy decisions. The model-free approach enables practical auditing of sequential decision systems, with applications to platform mechanisms, repeated games, and algorithmic trading strategies without requiring access to private agent information.

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AINeutralarXiv – CS AI · May 296/10
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Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk

Researchers present Nested Causal Thompson Sampling (NCTS), a machine learning framework for sequential decision-making where strategic choices causally influence subsequent tactical decisions across multiple timescales. The work introduces PAC-Bayesian risk bounds that enable off-policy certification of deployment policies from historical data alone, enabling safer handover from legacy systems to learned agents.