A little over a decade ago, AI researchers Joel Lehman and Kenneth O. Stanley set small robots fitted with sensors loose in a ...
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 ...
While most reinforcement learning algorithms use two to five network layers, a research team achieved 2x to 50x performance gains by scaling network depth up to 1,024 layers in a self-supervised agent ...
VR-Bench is a comprehensive benchmark for evaluating Video Models and VLMs on spatial reasoning and planning tasks through various puzzle games. It provides a unified framework for dataset generation, ...
Abstract: We present the Constrained Bi-directional Rapidly-Exploring Random Tree (CBiRRT) algorithm for planning paths in configuration spaces with multiple constraints. This algorithm provides a ...
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 ...
Building a maze-solving robot is an intresting way to get into the world of robotics and autonomous systems. Imagine creating a small device that can intelligently navigate through complex mazes, ...
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