Trump's Iran war death toll climbs to 13 after all crew onboard US refueling plane died in crash Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back I've spent 25 years treating patients with autism. This is the truth about the condition that many people don't want to hear: DR MAX PEMBERTON'Comatose' Mojtaba Khamenei'is UNAWARE there is a war on and has no idea he is supreme leader', report says - despite regime issuing his'first statement' Iran-linked cyberattack on US is'first drop of blood' as experts reveal alarming new threat to homeland Pete Hegseth melts down over'fake headlines' on Strait of Hormuz chaos as US hits Iran with'heaviest' day of fire yet Formula One set to CANCEL next month's Bahrain and Saudi Arabia races amid war in the Middle East - leaving a month-long gap in the calendar Trump insiders fear Operation Epic Fury is suddenly at risk over a new threat they're struggling to contain: MARK HALPERIN Pete Hegseth challenges Iran's'wounded and disfigured' new Ayatollah to appear on camera I worked with Carolyn Bessette. This is the'messy' truth about what she was REALLY like in secret. After she met JFK Jr she tried to hide it... but we all knew the nighttime gossip The disturbing truth about the link between alcohol and cancer and whether YOU could be at risk... as the Princess of Wales reveals her relationship with drinking has changed since beating the disease NFL fans left divided as team replace historic logo with'boring' new design as part of franchise rebrand Trump slammed after lifting oil sanctions on Russia as gas prices skyrocket: 'It's a betrayal' Friday the 13th linked to biblical end-times prophecy rooted in Jesus' betrayal Friday the 13th and its reputation of bringing bad luck has been tied to an ancient prophecy of global destruction rooted in the betrayal of Jesus Christ. In an oddity of the modern calendar, Friday the 13th has come again, just one month after arriving on February 13, 2026.

Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit. Jamie Palmer is co-founder and CTO of Icarus Robotics . He earned a Master's in Robotics from Columbia University on a full scholarship, researching intelligent, dexterous manipulation in the ROAM lab. Jamie developed and deployed autonomous hospital robots during the pandemic and worked as a race-winning engineer for the Mercedes-AMG Petronas Formula One team. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.

Unsupervised Environment Design (UED) formalizes the problem of autocur-ricula through interactive training between a teacher agent and a student agent. The teacher generates new training environments with high learning potential, curating an adaptive curriculum that strengthens the student's ability to handle unseen scenarios. Existing UED methods mainly rely on regret, a metric that measures the difference between the agent's optimal and actual performance, to

Spectrograms are 2D representations of sound that look very different from the images found in our visual world. And natural images, when played as spectrograms, make unnatural sounds.

Let B be the maximum difference betweenU1t and U2t, and let (π,θ1,θ2) be a Nash Equilibrium forG. Let π1 be the best response to the first teacher (with utilityU1t) and let π1+2 be the best response policy to the joint teacher. This result shows that as we reduce the number of random episodes, the approximation to aminimax regret strategy improves. Let G be the dual curriculum game in which the first teacher maximizes regret, so U1t = URt, and the second teacher plays randomly, soU2t = UUt . Finally,we need to show thatπ2+3 isoptimal for the student.

We introduce the Thresholding Monte Carlo Tree Search problem, in which, given a tree $\mathcal{T}$ and a threshold $θ$, a player must answer whether the root node value of $\mathcal{T}$ is at least $θ$ or not. In the given tree, `MAX' or `MIN' is labeled on each internal node, and the value of a `MAX'-labeled (`MIN'-labeled) internal node is the maximum (minimum) of its child values. The value of a leaf node is the mean reward of an unknown distribution, from which the player can sample rewards. For this problem, we develop a $δ$-correct sequential sampling algorithm based on the Track-and-Stop strategy that has asymptotically optimal sample complexity. We show that a ratio-based modification of the D-Tracking arm-pulling strategy leads to a substantial improvement in empirical sample complexity, as well as reducing the per-round computational cost from linear to logarithmic in the number of arms.