Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...

This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...