Lehman and Stanley have a name for what trapped the goal-seeking robots: deception. A problem is deceptive when the path to ...

AI breakthrough delivers 100× efficiency, tackles the energy crisis, and boosts neuro symbolic robots with improved puzzle solving gains for smarter, low power systems. Pixabay, manfredrichter ...

A gold superconducting quantum computer hangs against a black background. Quantum computers, like the one shown here, could someday allow chemists to solve problems that classical computers can’t.

Explore the limitations of auto-steer technology in farming. See real-world examples where manual control outperforms automation and why precision matters. Americans are finally turning on Trump Iran ...

The key is an algorithm called Contrastive RL (CRL), which transfers several principles from successful language model scaling to reinforcement learning. A network with 4 layers fails to solve the ...

This project is all about exploring Reinforcement Learning (RL) basic algorithms. We use mazes of different sizes as our playground to see how different RL techniques can find their way out. We make ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental strategies: simplifying in steps or mentally rewinding. MIT researchers showed ...

Summary: A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when faced with complex tasks. Researchers had participants predict a ...

From R2-D2 to Optimus Prime, Wall-E to The Iron Giant, robots have long captured our collective imaginations. In today’s world, their influence is far less limited to fictional settings; robotics are ...

For most of artificial intelligence’s history, many researchers expected that building truly capable systems would need a long series of scientific breakthroughs: revolutionary algorithms, deep ...