Learner
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Related Articles from SNS
Learner drivers warned of 'fewer options' as new DVSA driving test rules kick in
Learner drivers warned of 'fewer options' as new DVSA driving test rules kick in New DVSA driving test booking rules are now in force in an attempt to reduce the test backlog Learner drivers must now abide by a fresh set of rules when booking a driving test, following amendments made by the Driver and Vehicle Standards Agency (DVSA). The changes, which came into effect today (Tuesday, June 9), mean learners can only transfer their test to the three centres closest to their original booking...
Learner drivers waiting until they are ready for driving test as pass rate soars
Learner drivers waiting until they are ready for driving test as pass rate soars The Government has tightened rules around driving test bookings in a bid to cut the backlog - Bookmark - CommentsGo to comments Britain’s driving test pass rate has soared to a five-year high, suggesting learner drivers are increasingly heeding calls to sit their test only when ready. The Driver and Vehicle Standards Agency (DVSA) reported a 51.4 per cent success rate for tests conducted in May. This marks an...
Reinforcement Learning for Special Education: Aligning LLM Tutors to Diverse Learners through Disability-Adaptive Training
Announce Type: new Abstract: Large language models are increasingly deployed as intelligent tutors, yet research on aligning them for special education remains absent. Recent work has applied reinforcement learning to LLM tutors, but these methods target a generic learner in a single domain (mathematics) and do not address the cognitive and communicative diversity of learners with disabilities. We introduce \emph{Special-R1}, a framework that extends pedagogical RL to special education...
LARP: Learner-Agnostic Robust Data Prefiltering
Announce Type: replace-cross Abstract: Public datasets, crucial for modern machine learning and statistical inference, often contain low-quality or contaminated samples that can harm model performance. This creates a need for principled prefiltering procedures that a data provider can apply to protect the accuracy of a range of potential downstream statistical and learning procedures simultaneously. In this work, we formalize and analyze Learner-Agnostic Robust data Prefiltering (LARP), the...
How driving test booking is changing for learner drivers
From 12 May, only learner drivers can book their own tests, not instructors.
How driving test booking is changing for learner drivers
From 12 May, only learner drivers can book their own tests, not instructors.
Universal Decision Learners
Announce Type: new Abstract: Many theories of decision making -- planning, reinforcement learning, causal intervention, online learning, and game-theoretic equilibrium -- turn local information into globally coherent behavior. This paper proposes a common categorical formulation: a Universal Decision Learner (UDL) extends a partially specified decision functor from observed contexts to new contexts by a pair of universal constructions. Left Kan extensions express rollout, aggregation, and...
Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects
arXiv:2604.00915v2 Announce Type: replace Abstract: Estimation of heterogeneous long-term treatment effects (HLTEs) is relevant for personalized decision-making in marketing, economics, and medicine, where short-term observational datasets are often combined with long-term observational datasets. However, HLTE estimation is challenging due to limited overlap in treatment assignments or in long-term outcomes for certain subpopulations, which can lead to unstable HLTE estimates with large...
Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
Announce Type: replace Abstract: We study the discrete Bertrand pricing game with a non-increasing demand function. The game has $n \ge 2$ players who simultaneously choose prices from the set $\{1/k, 2/k, \ldots, 1\}$, where $k\in\mathbb{N}$. The player who sets the lowest price captures the entire demand; if multiple players tie for the lowest price, they split the demand equally. We study the Bertrand paradox, where classical theory predicts low prices, yet real markets often sustain high...
Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing
arXiv:2604.07366v2 Announce Type: replace Abstract: Partial differential equations (PDEs) govern nearly every physical process in science and engineering, but solving them at scale remains prohibitively expensive. Generative AI has transformed language, vision, and protein science, but learned PDE solvers have not undergone a comparable shift. Existing paradigms each capture part of the problem.