Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

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 ...

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 ...

Have you ever thought about where a business wants to go in the future? I used to wonder about that too. That’s what a vision statement explains. It’s the big goal a company hopes to reach someday. If ...

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 ...

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...

When applying for jobs, your resume is often the first opportunity to make a lasting impression on potential employers. While a well-structured format and solid work experience are essential, a ...

THE “FAIR AND RECIPROCAL PLAN”: Today, President Donald J. Trump signed a Presidential Memorandum ordering the development of a comprehensive plan for restoring fairness in U.S. trade relationships ...

To be useful, the assessments you give students must meet two conditions. First, assessments must be appropriately challenging at the moment when they are given. A question that’s clearly too hard or ...

A Marvel Rival player had enough of Dr. Strange players making portals during their matches, and rather than say something about it over chat, their response was hilarious. Marvel Rivals players ...