The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential equation. Such an equation is well-defined (with probability ...

Richard Bellman, Bottleneck Problems, Functional Equations, and Dynamic Programming, Econometrica, Vol. 23, No. 1 (Jan., 1955), pp. 73-87 ...

The Neetcode 150 is a curated set of coding problems covering the most common interview topics and patterns. It stands out ...

Learn how Claude Code and agentic coding are redefining software engineering with AI-powered features for efficiency and ...

Thinking Model Seed-Thinking-v1.5 Technical Report. The report consists of: 19 pages. ByteDance releases the Seed1.5-Thinking ...

Hands-on experience is the most direct way to get better at programming. Watching videos or reading tutorials only gets you ...

The students of Sharif University of Technology are placed atop West Asian countries at the 49th International Collegiate ...

Event-based cameras and real-time motion analysis are redefining robot vision, tackling assembly challenges that traditional ...

For years, the race in artificial intelligence has been about scale. Bigger models, more GPUs, longer prompts. OpenAI, ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

For years, the race in artificial intelligence has been about scale. Bigger models, more GPUs, longer prompts. OpenAI, ...

AI-powered vibe coding tools have become an equalising force in the programming space, but there's more to it than meets the eye.