Jo Harris, education manager for the Field Studies Council, explores how outdoor learning experiences can help achieve the ...

Abstract: Visual reinforcement learning (VRL) aims to learn optimal policies directly from pixel data, which holds significant potential for applications in control systems characterized by data ...

RLP uses a single network (shared parameters) to (1) sample a CoT policy 𝜋 𝜃 ( 𝑐 𝑡 ∣ 𝑥 < 𝑡 ) π θ (c t ∣x <t ) and then (2) score the next token 𝑝 𝜃 ( 𝑥 𝑡 ∣ 𝑥 < 𝑡 , 𝑐 𝑡 ) p θ (x t ∣x <t ...

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...

What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

The Centre for Advanced Research Computing (ARC) of University College London (UCL) designs and delivers continuing professional development offerings in digital research practices to colleagues and ...