Tag: action
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Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making
Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making arXiv:2601.19186v1 Announce Type: new Abstract: Fairness is a central pillar of trustworthy machine learning, especially in domains where accuracy- or profit-driven optimization is insufficient. While most fairness research focuses on supervised learning, fairness in policy learning remains less explored. Because policy learning is…
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GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations
GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations This blog post provides a hands-on guide for AI engineers and developers on how to build an initial KYC agent prototype with the OpenAI Agents SDK. We’ll explore how to equip our agent with a suite of tools (including MCP Server tools) to uncover and investigate potential…
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When You Just Can’t Decide on a Single Action
When You Just Can’t Decide on a Single Action In Game Theory, the players typically have to make assumptions about the other players’ actions. What will the other player do? Will he use rock, paper or scissors? You never know, but in some cases, you might have an idea of the probability of some actions…