The June 2025 briefing to Wes Streeting (2nd left) was released under the Freedom of Information Act. The June 2025 briefing to Wes Streeting (2nd left) was released under the Freedom of Information Act. NHS deal with AI firm Palantir called into question after officials' concerns revealed Health officials fear Palantir's reputation will hinder the delivery of a "vital" £330m NHS contract, according to briefings seen by the Guardian, sparking fresh calls for the deal to be scrapped. In 2023, ministers selected Palantir, a US surveillance technology company that also works for the Israeli military and Donald Trump's ICE operation, to build an AI-enabled data platform to connect disparate health information across the NHS . Now it has emerged that after Keir Starmer demanded faster deployment, Whitehall officials privately warned that the public perception of Palantir would limit its rollout, meaning the contract would not offer value for money.

OfflineRLisdeemed to be promising [16, 14] as online learning requires the agent to continuously interact with the environment, which howevermaybecostly,time-consuming, orevendangerous.

We refer to Table S2 for example questions from each a subset of clusters. Each participant first read the task instructions (see Figure S2), and completed a short comprehension test. The comprehension check was designed to test the participants' knowledge and understanding of key aspectsoftheexperiment. Once all players had joined, the group started the main experiment. In practice, data was collected in batches of around 20 groups (100 participants) in parallel.

I think the author needs to argue why Avalon is a better agent for real-world hidden role scenarios than other5 games? Among hidden role games, Avalon is one of the most popular and widely played games (according to6 boardgamegeek.com) Inthe real world, there are7 subtle cues which can often be misinterpreted when others are acting under uncertainty. AlphaGo-likemethods can be used when12 the board state alone is sufficient to determine the best move, but in imperfect information games it is necessary to13 consider how players acted to reach the current board state. We've added the following sentence: "Compared to14 MCTS-based methods like AlphaGo, CFR-based methods like DeepStack and DeepRole can soundly reason over15 hiddeninformation."16

To address this issue, we propose a novel rectification technique via refactoring the projection from 3D to 2D Gaussians.

Learning a graph with a specific structure is essential for interpretability and identification of the relationships among data. It is well known that structured graph learning from observedsamples isanNP-hard combinatorial problem. In this paper, we first show that for a set of important graph families it is possible toconvertthestructural constraints ofstructure intoeigenvalueconstraints ofthe graph Laplacianmatrix.