'Trump will be gone in three years': Top Democrats try to reassure Europe US Secretary of State Marco Rubio was the centre of attention at the Munich Security Summit, as European leaders wondered apprehensively what tone he would strike in his remarks on Saturday. While his speech did not fully allay their concerns, it has been viewed as a reassurance to allies that while US relations may have frayed under Donald Trump, they will not break. Rubio's was not the only American political voice at the security summit, however. And even if the secretary of state's remarks had not been so well-received - if he had sharply criticised Europeans the way Vice-President JD Vance did at the conference last year - there were other American politicians doing their best impression of the Persian poet, counselling: This too shall pass. If there's nothing else I can communicate today, California Governor Gavin Newsom said at a conference event on Friday, Donald Trump is temporary.

As a result, existing studies have clear limitations whenscaledtoaworldwidecontext.

It has been described as Germany's most spectacular bank heist in years. On a quiet weekend just after Christmas, a group of thieves broke into a High Street bank in the western town of Gelsenkirchen, by boring through a wall with an industrial drill. They looted more than 3,000 safe deposit boxes and made off with millions of euros. Over a month later, police have yet to make an arrest. For the bank's clients, some of whom say they have lost their life savings and precious family jewellery and valuables, this is a time of anger, confusion and shock.

While ridge regression provides shrinkage for the regression coefficients, manyofthecoefficients remain smallbutnon-zero. Performing ridgeregression with the matrix sketch returned by our algorithm and a particular regularization parameter forces coefficients to zero and has a provable(1+) bound on the statisticalrisk.

We introduce a principled method for performing zero-shot transfer in reinforcement learning (RL) by exploiting approximate models of the environment. Zero-shot transfer in RL has been investigated by leveraging methods rooted in generalized policy improvement (GPI) and successor features (SFs).

We seek to address the limitations of existing datasets in this area. Many such datasets lack a coherent traffic network graph to describe the relationship between sensors.

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However, the undirected setting is often insufficient: only a causal (i.e., directed) network provides